Self-assessed quality of life in peritoneal dialysis patients.

BACKGROUND/AIMS: Studies comparing quality of life (QOL) between peritoneal and hemodialysis patients have yielded inconsistent results. Physical (PCS) and mental component summary (MCS) scales of Short Form 36 (SF-36) health survey are highly validated measures of self-assessed QOL. We sought to evaluate these indices in PD patients: (1) as measures of QOL, (2) predictors of QOL, (3) to study change in QOL over time, and (4) to compare QOL in PD vs. hemodialysis patients. METHODS: SF-36 questionnaires were administered every 3 months to patients over a 2-year period and PCS and MCS were calculated. Mean follow-up was 15.3 +/- 6.6 months for PD and 14.5 +/- 5.7 months for HD. RESULTS: Average PCS in PD (31.8 +/- 7.8) was lower than HD (36.9 +/- 9.8) (p < 0.02), while MCS was similar in the groups (p = NS). The prevalence of depression was 26.1% in PD and 25.4% in HD patients (p = NS). Serum albumin was the only significant predictor of PCS among PD patients and explained much of the decrease in PCS in them. The number of hospitalizations and in-hospital days were significantly lower for PD compared to HD patients (p < 0.05). PCS as well as MCS remained stable in both groups throughout the observation period. CONCLUSION: Self-assessed physical function is diminished, while mental function is similar in PD compared to HD patients. When corrected for serum albumin, this difference is eliminated. Over time, QOL in patients treated with PD remained stable.     

Quality of sleep and health-related quality of life in haemodialysis patients.

BACKGROUND: Sleep complaints are common in haemodialysis patients. In the general population, insomnia impacts negatively on health-related quality of life (HRQoL). The objective of this study was to examine the association between quality of sleep and HRQoL in haemodialysis patients independent of known predictors of HRQoL. METHODS: Quality of sleep was measured using the Pittsburgh Sleep Quality Index (PSQI) and HRQoL was measured using the Medical Outcomes Study 36-item Short Form (SF-36) in 89 haemodialysis patients. RESULTS: Sixty-three (71%) subjects were 'poor sleepers' (global PSQI >5). The SF-36 mental component summary (MCS) and physical component summary (PCS) correlated inversely with the global PSQI score (MCS, r = -0.28, P < 0.01; PCS, r = -0.45, P < 0.01). The PCS score also correlated with age (r = -0.24, P = 0.02), haemoglobin (r = 0.21, P = 0.048) and comorbidity (r = -0.40, P < 0.01), and mean PCS was lower in depressed subjects (26.2 vs 35.9, P = 0.02). Subjects with global PSQI >5 had a higher prevalence of depression, lower haemoglobin and lower HRQoL in all SF-36 domains. The global PSQI score was a significant independent predictor of the MCS and PCS after controlling for age, sex, haemoglobin, serum albumin, comorbidity and depression in multivariate analysis. CONCLUSIONS: Poor sleep is common in dialysis patients and is associated with lower HRQoL. We hypothesize that end-stage renal disease directly influences quality of sleep, which in turn impacts on HRQoL.     

Assessment of quality of life and its influence factors in maintenance hemodialysis patients

Objective To investigate the quality of life (QOL) of maintenance hemodialysis （MHD）patients and its influencing factors. Methods A total of 257 MHD patients in our hospital were recruited in this study. Clinical data of the patients were collected, and the QOL was assessed by MOS 36 item short form health survey(SF-36). Nutritional status of patients was evaluated by modified quantitative subjective global assessment (MQSGA). Univariate analysis of variance,pearson correlation analysis and multiple linear stepwise regression analysis were performed to determine the effect of related factors on QOL scores. Results The scores of all scales of SF - 36 evaluation in MHD patients were relatively lower than that of general population as reported before. Their physiological component summary (PCS) score decreased gradually as age grew, nevertheless, the mental component summary (MCS) score was highest in the group aged 41 - 60. The score was lower in patients with moderate to severe malnutrition or diabetic nephropathy when compared with other patients. Univariate analysis of variance also revealed that high SF-36 scores associated with higher education or income. Multivariate analysis indicated that PCS score and total SF-36 score of MHD patients were positively correlated with body mass index (BMI) and cholesterol, but negatively correlated with diabetic nephropathy, pulmonary artery systolic pressure and MQSGA score (all P＜0.05). There was positive correlation between MCS score and income,yet negative correlation between MCS score and MQSGA score (all P＜0.05). Conclusion MHD patients had relatively poor QOL. Primary diseases and nutritional status were probably the main influencing factors. Age, educated level, family income and pulmonary artery systolic pressure might also have effects on their QOL.     

Correlation of SF-12 and SF-36 in a trauma population

BACKGROUND: The SF-36 is a commonly used general measure of health-related quality of life (QoL). The SF-12 is a related tool with less response burden, but its performance in a general trauma population is unknown. Hypothesis: The SF-12 would provide similar QoL information to the SF-36 in blunt trauma patients. METHODS: Adults with nonneurological blunt injury were prospectively enrolled. Demographic, injury, and socioeconomic data were collected. Patients were assessed with functional and psychologic questionnaires 1 and 6 months after injury. Physical (PCS) and mental (MCS) component scores of the SF-36 and SF-12 were compared using Pearson's correlation coefficient. Linear regression identified factors associated with the SF-12 and SF-36 PCS and MCS. Responsiveness to change was assessed using the standardized response mean. RESULTS: Correlation of the PCS was 0.924 and MCS was 0.925 (both P < 0.001). QoL remained below population norms at 6 months. PCS was moderately responsive to change and was equivalent using either the SF-12 or the SF-36. MCS was not responsive to change using either tool. At both time points, at least 25% of patients with normal SF-12 PCS or MCS had SF-36 subscale scores significantly below the normal population. CONCLUSIONS: The SF-12 can be used to assess QoL in trauma patients. The lack of responsiveness to change of the MCS suggests other methods may be necessary to fully evaluate mental QoL. Summary scores may not be sufficient to fully assess QoL in this population. Combining the SF-12 with measures to assess psychosocial variables should be further investigated.     

Should aggregate scores of the Medical Outcomes Study 36-item Short Form Health Survey be used to assess quality of life in knee and hip osteoarthritis? A national survey in primary care

OBJECTIVE: To assess the relevance of using the aggregate physical component score (PCS) and mental component score (MCS) of the Medical Outcomes Study 36-item Short Form Health Survey (SF-36) for patients with knee and hip osteoarthritis (OA). METHODS: We conducted a cross-sectional national survey in a primary care setting in France. A total of 1474 general practitioners enrolled 4183 patients with hip or knee OA. Construct validity of PCS and MCS was assessed by convergent and divergent validity and factor analysis. RESULTS: Records of 4133 patients (98.8%) were analyzed (2540 knee, 1593 hip OA). PCS mean scores were 32.0+/-8.4 and 31.8+/-8.4 and MCS scores 47.1+/-11.0 and 46.8+/-11.1, for knee and hip OA, respectively. Acceptable convergent and divergent validity was observed, and correlation between PCS and MCS mean scores was low (r=0.14). However, factor analysis performed on the eight subscale scores failed to support the use of PCS and MCS aggregate scores. It extracted two factors which were similar for both OA types and differed from the a priori stratification. Scores for two subscales usually attributed to MCS - emotional role and social functioning - were shared between factors, and scores for another subscale - general health perception - usually belonging to the PCS was in the mental component factor. CONCLUSIONS: Our results suggest that aggregate scores from the PCS and MCS of the SF-36 as they are currently defined may not be optimal for used in hip and knee OA patients to assess health-related quality of life.     

Assessment of long-term quality of life after laparoscopic and open surgery for Crohn''s disease

OBJECTIVE: Surgery for Crohn's disease (CD) is associated with a high recurrence rate and quality of life (QOL) in these patients is controversial. The aim of this study was to assess QOL in patients after laparoscopic and open surgery for CD by two different validated instruments, a generic nonspecific score and a specific gastrointestinal QOL index. PATIENTS AND METHODS: Patients with CD who underwent elective laparoscopic or open ileocaecal resection with primary anastomosis between 1992 and 2000 were followed for recurrence and surgery-related complications. QOL was assessed by the SF-36 Health Survey containing a mental (MCS) and a physical (PCS) component summary score and by the Gastrointestinal Quality of Life Index (GIQLI) developed by Eypasch. RESULTS: Thirty-seven patients with a mean age of 48.8 +/- 18.4 years including 23 females and 14 males were evaluated at a mean follow-up of 42.6 +/-25.8 months (minimum of 8 months). Twenty-one (57%) patients underwent laparoscopic resection and 16 (43%) open surgery. Both groups were well matched for age, gender, ASA class and body mass index. Fourteen (38%) patients developed recurrent disease and 3 (8%) had postoperative incisional hernias. Overall, QOL scores were 103 +/- 26.8 for the GIQLI, 47.2 +/- 11.8 for the PCS, and 49.2 +/- 11.5 for the MCS. The GIQLI correlated well with the SF36, correlation coefficient = 0.68 for GIQLI vs PCS (95% CI, 0.41,0.95) and 0.67 for GIQLI vs MCS (95%CI, 0.39, 0.95), respectively. When compared to the general US population, mean GIQLI scores (-13.8, P = 0.002) and mean PCS scores (-4.7, P = 0.001) were significantly lower in these patients than in healthy individuals. In a multivariate analysis of impact factors on QOL, recurrence within the follow-up period was the single significant determinant reducing the PCS (-35.1, P = 0.026) and the GIQLI (-36.1, P = 0.018). CONCLUSION: QOL is significantly reduced in patients with CD at long-term follow-up after both laparoscopic and open surgery. Recurrence is the only factor adversely affecting QOL of CD patients in remission irrespective of the operative technique applied.     

Predicting quality of life six months after traumatic injury

BACKGROUND: Many factors are known to impact quality of life (QoL) after injury, but predictors of diminished QoL and the time course of recovery remain incompletely understood. This study examines predictors and correlates of QoL measured by the Short Form-36 (SF-36) one and six months postinjury. METHODS: Adults with nonneurologic blunt injury were prospectively enrolled. Demographic, injury, and socioeconomic data were collected. Patients were assessed with functional and psychologic measures. In all, 196 patients had 1-month data and 123 had 6-month data available. Scores were compared at each time point and also to population norms using t-tests. Multiple regression techniques were used to identify associations between the physical and mental component scores (PCS & MCS) of the SF-36 and patient characteristics. RESULTS: PCS scores improved significantly (32.8 +/- 0.9 versus 41.3 +/- 1.0, p < 0.05) whereas MCS scores (47.5 +/- 1.1 versus 47.2 +/- 1.1, p = NS) did not. Both remained significantly below population norms. Functional Independence Measure (FIM) at one month was predictive of PCS at 6 months. Posttraumatic stress disorder (PTSD) was predictive of lower MCS, and depression was associated with poor MCS. Injury Severity Score was not associated with PCS or MCS. CONCLUSIONS: Overall physical and mental QoL measured by the SF-36 remains significantly below population norms 6 months after traumatic injury. It is possible to identify patients at risk for diminished QoL early during recovery by screening for functional status, PTSD, social support, and depression. Interventions to address these areas should be further studied with respect to their impact on long-term QoL.     

Inguinal hernioplasty improves the quality of life in patients with cirrhosis

BACKGROUND: The optimal management of symptomatic inguinal hernia (SIH) in cirrhotics is still undefined. Both hernia and cirrhosis impair quality of life (QOL). The aim of this study was to evaluate QOL by a Short Form-36 (SF-36) questionnaire in cirrhotic patients undergoing inguinal hernioplasty. METHODS: Thirty-two cirrhotic patients undergoing inguinal hernioplasty were evaluated. They were classified according to Child's class and to the absence or presence of refractory ascites. The SF-36 questionnaire was administered the day before and 6 months after surgery. Global analyses of the 8 domains of SF-36 and of 2 comprehensive indexes of SF-36, Physical Component Summary (PCS) and Mental Component Summary (MCS), were performed. RESULTS: Lichtenstein hernioplasty for SIH originated no major complications. All 8 domains of SF-36 and MCS and PCS scores improved remarkably after hernioplasty especially in patients in Child's class C and/or with refractory ascites. CONCLUSIONS: Inguinal hernioplasty for SIH in patients with cirrhosis is a safe procedure. The improvement of QOL represents a clear cut indication for elective hernia repair.     

Health-related quality-of-life changes after laparoscopic and open incisional hernia repair

BACKGROUND: The objective of this matched control study in patients suffering from incisional hernia was to compare laparoscopic open repair (LHR) with open hernia repair (OHR) in terms of long-term health-related quality of life (HRQL) according to the SF-36 Health Survey. METHODS: Twenty-four consecutive patients (18 male, six female; mean age, 55 years) prospectively underwent LHR using expanded polytetrafluoroethylene mesh. The second group, which was matched for age and gender, was subjected to OHR using large pore-sized, low-weight polypropylene meshes. Before and after surgery, HRQL was assessed by the SF-36 Health Survey, which measures eight different health-quality domains, and the SF-36 Physical (PCS) and Mental Component Summary (MCS) score. The SF-36 values were compared to the scores of age-stratified German population controls. RESULTS: The patients were reevaluated 16 months (range, 12-25) after LHR and 28 months (range, 18-52) after OHR, respectively. Before surgery, all of the eight health-quality domains as well as the PCS and MCS scores of both study groups were significantly lower than the corresponding scores of the age-stratified healthy German population. However, the OHR patients had significantly higher physical functioning and vitality scores than the LHR patients. After LHR and OHR, the scores for all eight SF-36 domains significantly increased but were still lower than those of the controls. The LHR patients were still worse than the norm population on both PCS and MCS scores, whereas OHR patients were worse only on PCS but not on MCS. In the long-term follow-up, none of the SF-36 Health Survey domains or the PCS and the MCS scores revealed significant differences between LHR and OHR patients. CONCLUSIONS: LHR was not different from OHR for selected indications that measure long-term outcome and HRQL. SF-36 appears to be an appropriate instrument to measure postoperative HRQL, showing responsiveness to changes in objective outcome measures.     

Do varicose veins affect quality of life? Results of an international population-based study.

PURPOSE: This study assessed the impact of varicose veins (VV) on quality of life (QOL) and patient-reported symptoms. METHODS: A cross-sectional population-based study was held in 166 general practices and 116 specialist clinics for venous disorders of the leg in Belgium, Canada (Quebec), France, and Italy. Study subjects included a sample of 259 reference patients without VV (CEAP class 0 or 1) and 1054 patients with VV who were classified as having VV alone (367; 34.8%), VV with edema (125; 11.9%), VV with skin changes (431; 40.9%), VV with healed ulcer (100; 9.5%), and VV with active ulcer (31; 2.9%). The main outcome measure was generic and disease-specific QOL, as measured by means of the Short-Form Health Survey-36 (SF-36) and the VEINES-QOL scale, and patient-reported symptoms as measured by the VEINES-SYM scale. RESULTS: In patients with VV, age-standardized mean SF-36 physical (PCS) and mental (MCS) scores were 45.6 and 46.1 in men and 44.2 and 43.2 in women, respectively, compared with population norms of 50. PCS scores decreased according to increasing severity of concomitant venous disease, with the lowest mean scores of 37.3 and 35.5 found in patients with VV and active ulcer. However, adjusted analyses showed no statistically significant differences between patients with VV alone and patients without VV for PCS (0.0), MCS (1.0), VEINES-QOL (-0.1), or VEINES-SYM (0.0) scores. In comparison with patients without VV, the largest differences were seen in patients with VV and edema (PCS, VEINES-QOL, and VEINES-SYM score differences of -1.8, -2.5, and -2.9, respectively) and in patients with VV and ulceration (differences of -3.3, -3.4, and -2.7, respectively). The high prevalence of major symptoms of venous disorders in patients in CEAP class 0 or 1 being treated for venous disorders (76.1% of patients had heaviness, aching legs, or swelling) might have contributed to the impairment of QOL in the reference group. CONCLUSION: Results indicate that impairment in physical QOL in patients with VV is associated with concomitant venous disease, rather than the presence of VV per se. Findings concerning QOL in patients with VV can only be reliably interpreted when concomitant venous disease is taken into account. In patients with VV alone, the objectives of cosmetic improvement and the improvement of QOL should be considered separately.     

The impact of spinal problems on the health status of patients: have we underestimated the effect?

STUDY DESIGN: A prospective study of 17,774 patients who consulted spine centers in which the impact of spinal disorders and comorbidities on physical functional status were evaluated. OBJECTIVES: To quantify the effect spinal diagnoses have on patients' physical functional status (SF-36 Physical Component Summary [PCS] score) compared with other common conditions and to quantify the effects of comorbidities on physical functional status in spine patients. SUMMARY OF BACKGROUND DATA: The burden of spinal conditions on a patient's function and the role that comorbidities play in this affliction are poorly quantified in the literature. METHODS: Data from the Health Survey Questionnaire were prospectively gathered through the National Spine Network, a nonprofit consortium of spine-focused practices. Each patient's SF-36 score was summarized into a single PCS score. The correlation between diagnosis and comorbidity and PCS score was assessed using multivariate linear regression. RESULTS: The study patients were a mean of 47.5 years of age, 54.7% were female, 52.3% had lumbosacral diagnoses, and 82.0% had had 3 or more months of pain. The population had a mean PCS score of 30.4 +/- 9.95 (SD) compared with 50.0 +/- 10.00 for the general United States population. The more comorbidities in a patient, the lower the PCS score (Spearman rank correlation = -0.27). The five comorbid conditions that lowered the PCS the most included congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), renal failure, rheumatoid arthritis, and lupus (all P <0.001). In multiple linear regression analysis, age, gender, diagnosis, and comorbidity explained 12.1% of the variance in PCS score. CONCLUSIONS: The PCS score is greatly affected in patients with spinal problems. The study population's PCS (30.4) was lower or similar to the PCS for patients with other illnesses reported in the literature: CHF (31.0), COPD (33.9), SLE (37.1), cancer (38.4), primary total hip arthroplasty (29.0), primary total knee arthroplasty (32.6), and glenohumeral degenerative joint disease (35.2). Further, the presence of comorbidity in spine patients adds to the burden of spinal conditions on functional status.     

The impact of benign prostatic hyperplasia surgery on patients' quality of life.

OBJECTIVE: To assess the impact of surgical treatment of benign hyperplasia of the prostate on patients' quality of life (QoL). MATERIAL AND METHODS: The QoL of 181 patients was assessed by the health questionnaire SF-36. The measurement was carried out before and 6 months after surgery. RESULTS: After surgery, SF-36 scales improved their scores, fundamentally General Health (57.4%) and Physical Functioning (57.1%). 70.3% improved their physical component summary (PCS) and 49.1% their mental component summary (MCS). The improved PCS and MCS were not associated with the improved I-PSS or urine flow. The improved PCS was 2.2 times higher in patients who had previously scored under 44 in the PCS, 2.2 in patients who had scored over 25 in the I-PSS, and 2.9 times higher in patients without chronic diseases. With regard to MCS improvement, this was 17.1 times higher in patients who scored under 50 previously on the MCS, 3.1 in patients who scored over 4 on the IQL, 5.7 in patients without postoperative incontinence, and 3.3 times higher in patients who lived in urban areas. CONCLUSIONS: Improvement in QoL after surgery is noted more in physical than in psychological aspects. Although a reduction in the intensity of prostatic symptoms and an increase in urine flow values were noted postoperatively, the improvement QoL was not associated with improved symptoms or urinary flow.     

Age and angina as predictors of quality of life after myocardial infarction: a prospective comparative study.

OBJECTIVES: The objectives were to compare quality of life (QoL) after first myocardial infarction with an age- and sex-adjusted normative population and to test whether the 1-month QoL had predictive properties. DESIGN: QoL was assessed by self-administered questionnaires (SF-36 and Cardiac Health Profile) 1, 3 and 6 months after index-event. Participants were 60 consecutive patients (20% women) with a mean age of 58 +/- 7.4 years. RESULTS: Patients > or =59 years improved in Physical (PCS) and Mental Component Summary (MCS), scoring comparable to community norms at 6 months. However, patients <59 years improved in PCS but not in MCS. and scored significantly below community norms in both PCS (x = 44.7, CI 40.6-48.7 vs x = 50.3, CI 49.3-51.4) and MCS (x = 45.9, Cl 41.8-49.9 vs. x = 51.3, CI 50.3-52.4) at 6 months. Predictors for MCS were age (p = 0.025) and Vitality (p = 0.020) both positively related to QoL. Predictors for PCS were Physical Function (p = 0.003) and CCS score (p < 0.001) where angina grade was negatively related to QoL. CONCLUSION: Because of impaired mental recovery in younger post-infarction patients, their need of special attention in the rehabilitation process must not be overlooked.     

Health-related quality of life of family caregivers of dialysis patients

BACKGROUND: This study aimed to evaluate the health-related quality of life (HRQOL) and burden on family caregivers of chronic dialysis patients and to analyze which factors were associated with it. METHODS: A cross-sectional multicentric study was carried out with 221 patient/caregiver pairs. General population Short Form 36 (SF-36) norms were used to estimate gender and age standardized physical component summary (PCS) and mental component summary (MCS) scores. The Duke-UNC Functional Social Support Questionnaire (FSS), the Zarit Burden Interview (ZBI), and sociodemographic and clinical data were also collected. RESULTS: The PCS and MCS of caregivers were slightly worse than that of the Spanish population. Multiple regression analysis showed that: (1) lower PCS was associated with younger age and higher ZBI of the caregiver (R2=0.15); (2) lower MCS was associated with higher ZBI and lower FSS of the caregiver, and lower MCS of the patient (R2=0.29); (3) higher ZBI was associated with lower FSS, PCS and MCS of the caregiver, and to older age and lower PCS and MCS of the patient (R2=0.49). Of caregivers 28.3% had a MCS < or = 42; logistic regression analysis showed that a MCS < or = 42 was associated to higher ZBI and lower FSS scores (p<0.001). CONCLUSIONS: The HRQOL of dialysis patient family caregivers is slightly worse than that of the Spanish population of the same age and gender. Younger family members, who are the primary carers of older dialysis patients with poor HRQOL, experienced a higher burden, had a worse HRQOL and had a higher risk of clinical depression; this was worse if low social support was perceived.     

Efficacy of the SF-36 Questionnaire in Identifying Obese Patients with Psychological Discomfort

Background: The primary endpoint of this study was to assess the association of health-related quality of life (QoL) and the presence of psychopathology. The association of other patients' characteristics and of Cognitive Behavioral Assessment (CBA) scales with quality of life (QoL) was also evaluated. Methods: 100 consecutive obese patients (WHO grade 2 and 3 obesity), addressed for psychological advice before either invasive or non-invasive treatment of obesity, were investigated. The instruments used were the SF-36 questionnaire (physical and mental component summaries, PCS and MCS), the CBA scales and psychological counselling. The association of PCS and MCS with the presence of psychopathology (Marked or DSM IV discomfort) was assessed by means of logistic regression. Results: SF-36 PCS was 39.5 (95% CI 37.7−41.3) and MCS 49.8 (95% CI 47.7-51.9). PCS only was significantly lower than the average for the reference normal population. The mean PCS score was similar in the No-Moderate (39.6 (SD 7.6)) and Marked-DSM IV (39.1 (SD 7.6)) groups, with an adjusted odds ratios (OR) of 1.07 (95% CI 0.74−1.55), P=0.706, for 5 points increase in PCS. The mean MCS score was 51.7 (SD 10.3) in the No-Moderate group and 42 (SD 8.1) in the MarkedDSM IV group, with an adjusted OR for 5 points increase in score of 0.63 (95% CI 0.43−0.95), P=0.003. Conclusions: SF-36, and particularly the MCS component, is a simple tool of easy use that could be utilized for identifying patients needing a specific psychological intervention in severely obese subjects applying for a weight reduction program.     

Differences of prognosis in hemodialysis patients with different quality of life

Objective To compare the one-year survival rates of maintenance hemodialysis (HD) patients with different quality of life, and analyze related factors affecting the prognosis of patients. Methods Patients on hemodialysis for at least 3 months were enrolled. A short form 36 health survey questionnaire (SF-36) and Pittsburgh sleep quality index (PSQI) were used to evaluate the quality of life and quality of sleep. To observe one-year all-cause mortality and Cox regression model was used to analyze the factors associated with survival outcomes. Results A total of 159 patients undergoing hemodialysis were included, in which 136 patients completed the follow-up after one - year observation. The one - year survival rate in patients with both high physical component summary (PCS) and mental component summary (MCS) scores was significantly better than the patients with low PCS and MCS scores (P ﹤ 0.05). PCS, hemoglobin and serum albumin were the protection factors for HD patients. Conclusions Quality of life is strongly associated with prognosis in HD patients. Enhancing quality of life is of clinical significance in the improvement of HD patients' survival rate.     

Organ quality and quality of life after liver transplantation

Not only is there a limited supply of organs for liver transplantation, but the quality of the available organs is not uniform. Risk factors such as donor age and cause of death are known to predict graft failure, but their impact on the recipient's quality of life (QOL) has not been reported. We sent a QOL survey to 299 adults at our institution who had received a liver transplant 1 to 7 years before the study. For the 171 patients (57%) who completed the Medical Outcomes Study Short Form 36 (SF-36), the mean Physical Composite Score (PCS) and the mean Mental Composite Score (MCS) were 61 and 66, respectively; the highest scores were for the Social Functioning subscale, and the lowest scores were for the Role Functioning/Physical and Energy/Fatigue subscales. The mean donor risk index (DRI) of the organs that the subjects received was 1.4 (range = 0.8-2.4). There was no correlation between the SF-36 scores and the DRI [there were changes of -4.8 and -2.8 in the PCS and MCS per unit increase in the DRI (P = 0.4 and 0.6, respectively)], even though we controlled for potential confounders such as age, sex, hospitalization before transplantation, the Model for End-Stage Liver Disease score at transplantation, years since transplantation, previous transplantation, and the Charlson comorbidity index. In conclusion, we found no association between organ quality and QOL after liver transplantation. If this finding is confirmed in prospective, multicenter studies, it will be useful in counseling patients about the decision to accept or not accept high-risk organ offers.     

The association between mental health,physical function,and hemodialysis mortality

BACKGROUND: Mortality rates for individuals on chronic hemodialysis remain very high; therefore, strategies are needed to identify individuals at greatest risk for mortality so preventive strategies can be implemented. One such approach is to stratify individuals by self-reported mental health and physical function. Examining these parameters at baseline, and over time, may help identify individuals at greater risk for mortality. METHODS: We enrolled 14,815 individuals with end-stage renal disease (ESRD) and followed these individuals for up to 2 years. The mean age was 61.0 +/- 15.4 years (range, 20 to 96 years) and 31% were African Americans. The SF-36 Health Survey was administered 1 to 3 months after hemodialysis initiation and 6 months later. We examined the associations between the initial SF-36 Health Survey mental component summary (MCS) and physical component summary (PCS) scores and mortality during the follow-up period, and examined the associations between 6-month decline in PCS and MCS scores and subsequent mortality. We also examined the interactions between age and MCS and PCS scores. The general population-based mean of each of these scores was 50 with a standard deviation of 10. The main outcome measurement was death. RESULTS: Self-reported baseline mental health (MCS score) and physical function (PCS score) were both independently associated with increased mortality, and 6-month decline in these parameters was also associated with increased mortality. The multivariate hazard ratios for 1-year mortality for MCS scores of less than 30, 30 to 39, and 40 to 49 were 1.48 (95% CI, 1.32 to 1.64), 1.23 (95% CI, 1.14 to 1.32) and 1.18 (95% CI, 1.10 to 1.26) compared with a MCS score of 50 or more. The hazard ratios for PCS scores of less than 20, 20 to 29, and 30 to 39 were 1.97 (95% CI, 1.64 to 2.36), 1.62 (95% CI, 1.36 to 1.92), and 1.32 (95% CI, 1.11 to 1.57) compared with a PCS score of 50 or more. Six-month decline in self-reported mental health (hazard ratio, 1.07; 95% CI, 1.02 to 1.12, per 10-point decline in MCS score) and physical function (hazard ratio, 1.25; 95% CI, 1.18 to 1.33, per 10-point decline in PCS score) were also both significantly associated with an additional increase in mortality beyond baseline risk. We also found a significant interaction between age and physical function (P = 0.02). Specifically, there was a graded response between the PCS score category and mortality in most age strata, but this relationship was not observed in the oldest age (85 years old or older). CONCLUSION: In individuals newly initiated on chronic hemodialysis, self-reported baseline mental health and physical function are important, independent predictors of mortality, and there is a graded relationship between these parameters and mortality risk. Following these parameters over time provides additional information on mortality risk. One must also consider age when interpreting the relationship between physical function and mortality.     

Impact of comorbidities on the measurement of health in patients with ankle osteoarthritis

BACKGROUND: Investigators seeking to understand the impact of musculoskeletal disorders commonly use validated outcome instruments to assess the effect of diseases on physical function and quality of life. However, the influence of concomitant systemic or musculoskeletal comorbidities on these scores has not been widely considered in orthopaedic research. The purpose of this study was to determine how morbidity unrelated to the ankle influences the perception of physical function and pain by patients with ankle osteoarthritis. METHODS: Short Form-36 (SF-36) Physical Component Summary (PCS) and Mental Component Summary (MCS) scores, Ankle Osteoarthritis Scale (AOS) pain scale scores, demographic data, and systemic and musculoskeletal comorbidities were determined prospectively for 195 patients with ankle osteoarthritis and ninety-five age and gender-matched controls. The effect of systemic and musculoskeletal comorbidities on each of the scores was determined. RESULTS: On the average, patients with ankle osteoarthritis had a relatively normal MCS score (47 +/- 13 points) and a markedly diminished PCS score (32 +/- 8 points). Both of these scores averaged 50 +/- 9 points in the control group. The AOS pain score averaged 61 +/- 23 points in the group with ankle osteoarthritis, whereas it averaged 10 +/- 15 points in the control group. We found the perception of ankle pain by patients with ankle osteoarthritis to be significantly and linearly associated with the number of other musculoskeletal problems (not related to the foot or ankle). CONCLUSIONS: The degree of physical impairment associated with ankle osteoarthritis, as measured with the SF-36, is equivalent to that reported to be associated with severely disabling medical problems including end-stage kidney disease and congestive heart failure. The perception of ankle health status as measured with a validated, patient-oriented, anatomically specific instrument is influenced by the patients' perception of their overall musculoskeletal comorbidity status. The authors of clinical studies using these instruments should adjust for concomitant musculoskeletal disease.