Quality of life-related and non-quality of life-related issues in ICU survivors and non-ICU-treated controls: a multi-group exploratory factor analysis.

BACKGROUND: Quality of life (QoL) is a key outcome measure in healthcare. However, the heterogeneity in its definitions presents challenges in the objective evaluation of improvement. Universal questionnaires, tailored for a broad demographic group, inadequately represent the unique experiences of intensive care unit (ICU) survivors, including a lack of ability to discriminate issues related to QoL from issues that do not. METHODS: Using a 218-item, 13-domain provisional questionnaire, we assessed 395 adult ICU survivors, with a minimum 72-h stay at one of three Swedish university hospital ICUs, at 6 months to three years post-discharge. Their responses were compared to those of 195 controls, matched for age and sex and randomly recruited from the Swedish Population Registry. By multi-group exploratory factor analysis, we compared dimensionality in QoL perceptions between the two groups, emphasising patterns of correlation to 13 domain-specific QoL questions. Model fit was assessed using information criteria. Internal consistency reliability for each scale was determined using McDonald's omega or Cronbach's alpha. All analyses were conducted using Mplus, applying full information maximum likelihood to handle missing data. RESULTS: All domains except Cognition had a subset of questions correlating to the domain-specific QoL question in at least the ICU survivor group. The similarity between the two groups varied, with Physical health, Sexual health and Gastrointestinal (GI) functions mainly correlating the same issues to QoL in the two groups. In contrast, Fatigue, Pain, Mental health, activities of daily living, Sleep, Sensory functions and Work life showed considerable differences. In all, about one-fourth of the issues correlated to QoL in the ICU survivor group and about one-tenth of the issues in the control group. CONCLUSIONS: We found most issues experienced by ICU survivors to be unrelated to quality of life. Our findings indicate that the consequences of post-ICU issues may play a more significant role in affecting QoL than the issues themselves; issues restricting and affecting social life and work life were more related to QoL in ICU survivors than in non-ICU-treated controls. Caution is advised before associating all post-ICU problems with an effect on quality of life. TRIAL REGISTRATION: ClinicalTrials.gov Ref# NCT02767180; Registered 28 April 2016.

Development and Psychometric Test of the Salutogenic Survey on Sustainable Working Life for Nurses: Identifying Resistance Resources against Stress.

Extensive research shows nurses' work environment to be particularly stressful. This study develops, explores, and psychometrically tests a new profession-specific questionnaire identifying generalised and specific resistance resources, that make it possible to measure resources to manage work-related stress. An exploratory study design was employed. The questionnaire development was inspired by the MEASURE approach and the salutogenic theory of health. Building on the results from a literature review of nursing research and salutogenesis, supplemented by twelve interviews with hospital nurses, an item pool was generated. The first version was pilot-tested in a group of nurses who were studying to become specialist nurses. The second version of the questionnaire was psychometrically tested on a sample of registered nurses in close patient care (n = 475), analysed using confirmatory factor analysis to test seven predefined domains of the questionnaire. The analysis revealed a first order seven-domain model of 21 items: job satisfaction, professional role, work motivation, commitment, belonging in the workplace, factors and conditions for remaining in the profession, and workload. The structure of the questionnaire indicates its usefulness in clinical practice for measuring resistance resources.

The relationship between ICU survivorship, comorbidity and educational level in quality of life after intensive care.

BACKGROUND: ICU survivors have lower quality of life (QoL) compared to a non-ICU-treated population. The reason for this is not fully understood, but differences in baseline characteristics may be an important factor. This study evaluates the roles of comorbidity and educational level as possible explanatory factors for differences in QoL in ICU survivors compared to a non-ICU-treated population. METHODS: Using a provisional questionnaire with 218 questions in 13 domains on QoL after intensive care, we compared the responses from 395 adult ICU survivors and 195 non-ICU-treated controls. An initial bivariable linear correlation analysis compared the responses from the two groups. Two secondary multivariable regression analyses tested for effect modification by comorbidity and educational level, respectively, on the effect on QoL from belonging to the ICU survivor group compared to the control group. RESULTS: There was a significant difference in QoL between the two groups in 170 of 218 (78%) questions. In the multivariable analyses, associations between group belonging and QoL remained in 139 questions. In 59 of these, both belonging to the ICU survivor group and comorbidity was associated to QoL, in parallel to each other. Comorbidity moderated the association between group belonging and QoL in six questions, with the highest proportion of questions within the domains of cognition and urinary functions, and the lowest proportion within appetite and alcohol, physical health, and fatigue. In 26 questions, both belonging to the ICU survivor group and educational level were associated to QoL, in parallel to each other. Educational level moderated the association between group belonging and QoL in 34 questions, with the highest proportion of questions within the domains of urinary functions, ADL and physical health, and the lowest proportion within the domains of cognition, appetite and alcohol, pain, sensory functions, and fatigue. CONCLUSIONS: Lower QoL seen in ICU survivors compared to non-ICU-treated controls, as measured by our provisional questionnaire, cannot be explained only by a higher burden of comorbidity, and rarely by only educational level. In issues where comorbidity or educational level was associated to QoL, it often was so in parallel to an association from belonging to the ICU survivor group. Comparing QoL in ICU survivors to that of a non-ICU-treated population may be adequate despite differences in baseline characteristics.

Estimation of kidney function in patients with primary neuromuscular diseases: is serum cystatin C a better marker of kidney function than creatinine?

BACKGROUND: Using serum creatinine leads to an overestimation of kidney function in patients with primary neuromuscular disorders, and reduced kidney function may remain undetected. Cystatin C (CysC) could provide a better estimation. AIM: To evaluate the precision, accuracy, and bias of two creatinine-, one cystatin C-based and one combined equation to estimate glomerular filtration rate (eGFR) in patients with primary neuromuscular disease. PATIENTS AND METHODS: Of the 418 patients initially identified at the out-patient clinic, data on kidney function was obtained for 145 adult patients (age 46 ± 14 years, BMI 26 ± 6 kg/m2) with primary neuromuscular disease. Kidney function was measured by iohexol clearance, and blood samples for serum creatinine and CysC were drawn simultaneously. Bias was defined as the mean difference between eGFR and measured iohexol clearance, and accuracy as the proportion of eGFRs within ± 10% (P10) of measured clearance. RESULTS: Kidney function (iohexol clearance) was 81 ± 19 (38-134) ml/min/1.73m2. All equations overestimated kidney function by 22-60 ml/min/1.73m2. eGFR CysC had the lowest bias overall 22 (95% CI 20-26) ml/min/1.73m2 also at all levels of kidney function we evaluated (at 30-59 ml/min/1.73m2 bias was 27 (95% CI 21-35), at 60-89 it was 25 (95% CI 20-28) and at ≥ 90 it was 12 (95% CI 7-22)). eGFR CysC also had the best accuracy in patients with reduced kidney function (P10 was 5.9% at 30-59 ml/min/1.73m2). CONCLUSIONS: Cystatin C-based estimations of kidney function performed better than creatinine-based ones in patients with primary neuromuscular disease, but most importantly, all evaluated equations overestimated kidney function, especially in patients with reduced kidney function. Therefore, kidney function should be measured by gold-standard methods when precision and accuracy are needed.

Half of the children with overweight or obesity and attention-deficit/hyperactivity disorder reach normal weight with stimulants.

AIM: Treatment of childhood obesity is often insufficient and may be aggravated by high co-occurrence of attention-deficit/hyperactivity disorder (ADHD). We aimed to investigate whether children with overweight or obesity normalised in weight when receiving stimulant treatment for ADHD. METHODS: Growth data of 118 children were obtained from medical records at outpatient paediatric and children's psychiatric services in the Gothenburg area, Sweden. The children were diagnosed with ADHD and were between 6 and 17 years at the start of stimulant treatment. The pre-treatment data act as an internal control where every child is their own control. RESULTS: At the start of treatment, 74 children had normal weight and 44 had either overweight or obesity. During the year with stimulants, the mean (SD) body mass index (BMI) in standard deviation score (SDS) decreased significantly: -0.72 (0.66) compared with 0.17 (0.43) during the year before treatment (p < 0.01). After one year with treatment, 43% of those with overweight or obesity had reached normal weight. CONCLUSIONS: Stimulant treatment for ADHD yields significant weight loss. In children with overweight or obesity and ADHD, this is an important finding showing additional benefit in terms of weight management.

Long-term health-related quality of life and burden of disease after intensive care: development of a patient-reported outcome measure.

BACKGROUND: ICU survivorship includes a diverse burden of disease. Current questionnaires used for collecting information about health-related problems and their relation to quality of life lack detailed questions in several areas relevant to ICU survivors. Our aim was to construct a provisional questionnaire on health-related issues based on interviews with ICU survivors and to test if this questionnaire was able to show differences between ICU survivors and a control group. METHODS: Thirty-two ICU survivors were identified at a post-ICU clinic and interviewed at least six months after ICU discharge. Using an established qualitative methodology from oncology, all dysfunctions and disabilities were extracted, rephrased as questions and compiled into a provisional questionnaire. In a second part, this questionnaire was tested on ICU survivors and controls. Inclusion criteria for the ICU survivors were ICU stay at least 72 h with ICU discharge six months to three years prior to the study. A non-ICU-treated control group was obtained from the Swedish Population Register, matched for age and sex. Eligible participants received an invitation letter and were contacted by phone. If willing to participate, they were sent the questionnaire. Descriptive statistics were applied. RESULTS: Analysis of the interviews yielded 238 questions in 13 domains: cognition, fatigue, physical health, pain, psychological health, activities of daily living, sleep, appetite and alcohol, sexual health, sensory functions, gastrointestinal functions, urinary functions and work life. In the second part, 395 of 518 ICU survivors and 197 of 231 controls returned a completed questionnaire, the response rates being 76.2% and 85.3%, respectively. The two groups differed significantly in 13 of 22 comorbidities. ICU survivors differed in a majority of questions (p ≤ 0.05) distributed over all 13 domains compared with controls. CONCLUSIONS: This study describes the development of a provisional questionnaire to identify health-related quality of life issues and long-term burden of disease after intensive care. The questionnaire was answered by 395 ICU survivors. The questionnaire could identify that they experience severe difficulties in a wide range of domains compared with a control group. Trial registry ClinicalTrials.gov Ref# NCT02767180.

Concomitant Associations of Healthy Food Intake and Cardiorespiratory Fitness With Coronary Artery Calcium.

Conflicting findings remain regarding associations between lifestyle behaviors and coronary artery calcium (CAC). We investigated concomitant associations of healthy food intake and cardiorespiratory fitness (CRF) with CAC. Data from 706 men and women 50 to 64 years old from the Swedish SCAPIS pilot trial were analyzed. A CAC score was calculated using the Agatston method. A Healthy Food Index (HFI) was established using data from a web-based food frequency questionnaire. CRF was assessed from a bike exercise test. Regression analyses were performed with occurrence of CAC (dichotomous) and level of CAC score in patients with CAC (continuous) as outcomes. 58% had 0 CAC score. HFI was significantly associated with having no CAC (standardized coefficient ß = 0.18, p <0.001) but not with level of CAC score (ß = -0.09, p = 0.34). CRF showed no significant association with having no CAC (ß = -0.08, p = 0.12) or with the level of CAC score (ß = -0.04, p = 0.64). However, there was an interaction between HFI and CRF (ß = -0.23, p = 0.02); for increasing levels of CRF there was stronger negative association between HFI and level of CAC score, reaching ß = -0.48, p = 0.045 for the highest CRF level. In conclusion, these results emphasize the importance of a healthy food intake in combination with higher CRF to counteract CAC development.

A Longitudinal Analysis of the Relationships of Physical Activity and Body Fat With Nerve Growth Factor and Brain-Derived Neural Factor in Children.

BACKGROUND: Nerve growth factor (NGF) and brain-derived neural factor (BDNF) are important for brain function and detectable in the blood. This study explored the longitudinal associations of physical activity and body fat with serum NGF and BDNF in children. METHODS: Two waves of measurements were performed 2 years apart in 8- to 11-year-old children, including physical activity using the ActiGraph model 7164, body composition by dual-energy X-ray absorptiometry, and serum NGF and BDNF determined by multiplex immunoassay. The first wave included 248 children. Full information maximum likelihood estimation with robust standard errors was applied in structural equation modeling. RESULTS: Vigorous physical activity showed a direct positive longitudinal relationship with NGF (standardized coefficient ß = 0.30, P = .01) but not with BDNF (ß = 0.04, P = .84). At the same time, body fat percentage was positively related to both NGF (ß = 0.59, P < .001) and BDNF (ß = 0.17, P = .04). There was an indication of an indirect relationship of vigorous physical activity with NGF (product of unstandardized coefficient ß = -0.18, P = .02) and BDNF (ß = -0.07, P = .05) through the negative relationship with body fat percentage (ß = -0.36, P < .001). CONCLUSIONS: Vigorous physical activity is directly related to serum NGF and indirectly through the level of body fat. The relationships with serum BDNF are more complex.