Nevin Manimala

Int J Nurs Pract. 2021 Jul 26:e12996. doi: 10.1111/ijn.12996. Online ahead of print.

ABSTRACT

AIM: This study aimed to explore the level and influencing factors of fatigue in patients with rheumatoid arthritis.

METHODS: This cross-sectional study was conducted in 243 patients with rheumatoid arthritis from April 2016 to March 2017. The Bristol Rheumatoid Arthritis Fatigue Multi-Dimensional Questionnaire, Arthritis Self-Efficacy Scale-8, Visual Analogue Scale for pain, physical function subscale of Short Form 36-Item Health Survey, Hospital Anxiety and Depression Scale, Perceived Social Support Scale, Pittsburgh Sleep Quality Index and a self-designed demographic and disease-related information questionnaire were used to collect the data. Stepwise linear multiple regression was used to clarify the impact of statistically significant variables (P < 0.05) in the independent sample t test, one-way ANOVA and correlation analysis on the level of fatigue.

RESULTS: Stepwise linear multiple regression analyses showed that disease activity, self-efficacy, physical function, pain, depression, duration of morning stiffness and anxiety were major factors influencing fatigue in patients with rheumatoid arthritis, which explained 59.5% of the total variance.

CONCLUSION: Our study demonstrated a moderate level of fatigue in Chinese patients with rheumatoid arthritis. In clinical practice, nurses should explore individualized intervention programmes based on related predictors of fatigue to help patients relieve fatigue.

PMID:34309127 | DOI:10.1111/ijn.12996

J Clin Nurs. 2021 Jul 26. doi: 10.1111/jocn.15976. Online ahead of print.

ABSTRACT

AIMS AND OBJECTIVES: This study aimed to investigate the effects of socioeconomic-, patient-, treatment-, condition- and health system-related factors on medication adherence in patients with chronic obstructive pulmonary disease (COPD).

BACKGROUND: Medication adherence is essential for the management of chronic diseases. The World Health Organization created a Multidimensional Adherence Model (MAM) and showed that medication adherence is affected by a combination of numerous factors.

DESIGN: A descriptive correlational study was conducted.

METHODS: A total of 114 patients with COPD were included. Data were collected on five dimensions based on the MAM framework. Medication adherence, self-efficacy and symptoms were evaluated using the Adherence to Refills and Medications Scale-7 (ARMS-7), COPD Self-Efficacy Scale (CSES) and COPD Assessment Test (CAT), respectively. The data were analysed using descriptive statistics, correlational statistics and structural equation modelling. The STROBE checklist was used.

RESULTS: The ARMS-7 scores were associated with the body mass index of patients (F = 4.245, p = .017), smoke pack-years (r = .277, p = .004) and the CSES total score (β = -0.249, p = .002) in patient-related factors. The ARMS-7 score was not associated with socio-economic and health system-related factors. The ARMS-7 score showed a significant correlation between COPD diagnosis duration (r = -.276, p = .003) and the total number of drugs (r = -.215, p = .022) in treatment-related factors. The ARMS-7 scores were associated with the number of comorbid illnesses of patients with COPD in condition-related factors (F = 3.533, p = .033).

CONCLUSION: This study showed that medication adherence in COPD was mostly affected by patient-, treatment- and condition-related factors.

RELEVANCE TO CLINICAL PRACTICE: Healthcare professionals should establish training and counselling programs to increase the medication adherence level of patients, particularly for patients who are newly diagnosed, require multiple drugs and have comorbid diseases or low self-efficacy.

PMID:34309101 | DOI:10.1111/jocn.15976

Eur J Oral Sci. 2021 Jul 26. doi: 10.1111/eos.12814. Online ahead of print.

ABSTRACT

This study evaluated the effect of different surface-treatment protocols on the repair bond strength of a bulk-fill resin composite. One-hundred and forty specimens (Filtek Bulk-fill) were created (5 mm diameter, 4 mm depth) and allocated to one of 14 groups according to surface treatment (no treatment, tribochemical silica coating, sandblasting with aluminum oxide), adhesive application (no adhesive, total-etch, self-etch), and type of repair resin (bulk-fill, universal resin) (n = 10 per group). Twenty specimens were selected for measuring the cohesive strengths of non-aged resin composites and used as reference. Other specimens were thermocycled. Shear bond-strength testing was performed. Data were analyzed using linear regression of bond strength as a function of the surface treatment, type of adhesive and whether or not adhesive was applied, and type of repair resin. The failure modes were analyzed using logistic regression of failure mode (cohesive failure vs. other types, or adhesive failure vs. other types) on the type of surface treatment, adhesive application, and repair resin used. Surface treatment, regardless of whether this was tribochemical silica coating (mean difference = 5.44 MPa; 95% CI = 4.77-6.11) or sandblasting with aluminum oxide (mean difference = 4.22 MPa; 95% CI = 3.55-4.88), resulted in higher shear bond strength than no treatment. Application of adhesive resulted in a substantial and statistically significant decrease of shear bond strength (by 8.77 MPa, for self-etch and by 7.26 MPa for total-etch) relative to no adhesive. Conversely, the type of repair resin did not influence the shear bond strength to any appreciable extent.

PMID:34309074 | DOI:10.1111/eos.12814

Stat Med. 2021 Jul 26. doi: 10.1002/sim.9147. Online ahead of print.

ABSTRACT

Clusterwise statistical inference is the most widely used technique for functional magnetic resonance imaging (fMRI) data analyses. Clusterwise statistical inference consists of two steps: (i) primary thresholding that excludes less significant voxels by a prespecified cut-off (eg, $p<.001$ ); and (ii) clusterwise thresholding that controls the familywise error rate caused by clusters consisting of false positive suprathreshold voxels. The selection of the primary threshold is critical because it determines both statistical power and false discovery rate (FDR). However, in most existing statistical packages, the primary threshold is selected based on prior knowledge (eg, $p<.001$ ) without taking into account the information in the data. In this article, we propose a data-driven approach to algorithmically select the optimal primary threshold based on an empirical Bayes framework. We evaluate the proposed model using extensive simulation studies and real fMRI data. In the simulation, we show that our method can effectively increase statistical power by 20% to over 100% while effectively controlling the FDR. We then investigate the brain response to the dose-effect of chlorpromazine in patients with schizophrenia by analyzing fMRI scans and generate consistent results.

PMID:34309050 | DOI:10.1002/sim.9147

J Sex Med. 2021 Jul 22:S1743-6095(21)00572-5. doi: 10.1016/j.jsxm.2021.06.015. Online ahead of print.

ABSTRACT

BACKGROUND: Penile cancer surgery affects physical, psychological, and sexual well-being, but the patient- and treatment-related factors predisposing to worse health-related quality of life (HRQoL) have not been well characterized.

AIM: We report treatment-related HRQoL changes among penile cancer survivors compared to the general population and the specific deficits that have the most profound effect, and we identify patient-related factors that predispose to a worse perceived HRQoL.

METHODS: Patients (n = 107) who underwent operations for invasive penile cancer in two Finnish university hospitals from 2009 to 2019 were sent the Patient Reported Outcomes (PROs) questionnaire designed to measure HRQoL, self-esteem, overall sexual functioning, erections, and change in sexual function. We collected clinical information and socio-demographic characteristics, including age, partner status, children, vocational education, and employment status. Associations between patient- and treatment-related factors and HRQoL were analyzed using descriptive statistics and non-parametric tests. Linear regression models were used to compare the HRQoL differences between patients with penile cancer and the age-standardized average for the Finnish population.

OUTCOMES: A generic measure of HRQoL (15D), the Rosenberg Self-Esteem Scale, Overall Sexual Functioning Questionnaire, the Erection Hardness Score, and self-reported change in sexual functioning.

RESULTS: Low scores in overall sexual functioning, erectile function, and changes in sexual functioning were associated with a lower HRQoL. An association was found between HRQoL and age, educational level, employment status, and place of residence. The HRQoL had a negative correlation with age. Patients with a high educational level, who were employed, or who lived in urban areas reported higher HRQoL. The mean HRQoL of penile cancer survivors was significantly lower than the age-standardized average HRQoL of the Finnish population.

CLINICAL IMPLICATIONS: Enhanced support and counseling is needed among penile cancer patients to improve the HRQoL during survivorship.

STRENGTHS & LIMITATIONS: A nationwide sample with detailed information allowed comparisons of HRQoL between penile cancer patients and the general population. Due to cross-sectional nature of the study, the time between the surgery and the study intervention was heterogeneous, and this may have affected the results.

CONCLUSION: Penile cancer patients exhibit significant physical and psychological dysfunction, and the lack of sexual activity in general is what most compromises the QoL of penile cancer survivors. Harju E, Pakarainen T, Vasarainen H, et al. Health-Related Quality of Life, Self-esteem and Sexual Functioning Among Patients Operated for Penile Cancer – A Cross-sectional Study. J Sex Med 2021;XX:XXX-XXX.

PMID:34305021 | DOI:10.1016/j.jsxm.2021.06.015

Int Orthod. 2021 Jul 22:S1761-7227(21)00083-8. doi: 10.1016/j.ortho.2021.06.004. Online ahead of print.

ABSTRACT

OBJECTIVE: To assess the outcome quality of subjects treated with a completely customized lingual appliance (CCLA) in a postgraduate university program, using the ABO Objective Grading System (OGS), by testing the null-hypothesis of a significant proportion of post-treatment cases exceeding an adjusted â€̃exam failure’ threshold value of OGS=24.

MATERIALS AND METHODS: This retrospective single-arm study included 66 consecutively debonded CCLA cases (m/f 19/47; mean age: 25.1±9 years) treated at Hannover Medical School (MHH, Hannover, Germany). The discrepancy index (DI) was assessed on initial plaster casts. The OGS of the cast-radiograph evaluation was scored for both set-up and post-treatment casts, including the seven components of alignment/rotation, marginal ridges, buccolingual inclination, overjet, occlusal contacts, occlusal relationships and interproximal contacts, to parameterize differences between those.

RESULTS: DI score distribution (≥20, <20) was 25 (37.9%)/41 (62.1%) subjects. Mean initial DI was 17.3±8.5. Mean set-up OGS was 10.4±4.4 (min-max: 3—21), mean final OGS was 17.7±5.9 (min-max: 7—33), and the difference 7.3 (post-treatment – set-up) was statistically significant (p<0.0001; 95% CI [5.8, 8.7]). The null-hypothesis was rejected: A statistically significant proportion of the final casts (n=58; 87.8%) scored below OGS=24 by exact binomial test (P<0.0001; 95% CI [77.5%, 94.6%]). The rate of a final OGS score<24 was not significantly different (P=0.98) between both DI (≥20, <20) groups.

CONCLUSIONS: The outcome quality of the CCLA treatment in this postgraduate university setting was high and therefore sufficient for a vast majority of treated cases to pass the ABO-OGS clinical examination.

PMID:34305012 | DOI:10.1016/j.ortho.2021.06.004

Urol Oncol. 2021 Jul 22:S1078-1439(21)00253-2. doi: 10.1016/j.urolonc.2021.05.032. Online ahead of print.

ABSTRACT

BACKGROUND: Androgen deprivation therapy (ADT) is associated with numerous toxicities that are potentially modifiable. We sought to evaluate the impact of participation in a multidisciplinary clinic, STAND (Supportive Therapy in Androgen Deprivation) Clinic, designed to provide individualized lifestyle modification and management of ADT-related side effects.

METHODS: This phase II study recruited men with prostate cancer who had started ADT <6 months prior to enrollment, and in whom ADT was planned for at least 12 months following enrollment. Patients were randomized in a 1:1 ratio to either the STAND Clinic or usual care. Patients randomized to the STAND Clinic were provided monthly multidisciplinary assessment and counseling on exercise, nutrition, and symptom management for 12 months on a rotating schedule. Primary outcome was change from baseline to 12 months in percent body fat. Feasibility outcomes were also assessed by measuring percentage of completed visits. Secondary outcomes included change from baseline to 12 months in 3 domains: (1) metabolic impact and bone health, (2) quality of life (QOL), and (3) physical activity.

RESULTS: A total of 25 men were randomized to STAND clinic, and 23 were randomized to usual care. The study did not meet its accrual target of 32 men in each arm and was closed early due to lack of financial support. Overall, 91% (295 of 325) of STAND clinic visits were completed. Eighteen out of the 25 patients in STAND clinic arm (72%) completed all 12 months of STAND clinic visits, and 80% (20 of 25) completed the first 6 months. For all primary and secondary outcomes, there were no statistically significant differences between treatment arms.

CONCLUSION: Individualized and comprehensive management of ADT toxicities in a multidisciplinary clinic was well attended by patients. However, we did not find any differences in the outcomes assessed between the intervention arm and control.

PMID:34304981 | DOI:10.1016/j.urolonc.2021.05.032

Intensive Crit Care Nurs. 2021 Jul 22:103084. doi: 10.1016/j.iccn.2021.103084. Online ahead of print.

ABSTRACT

OBJECTIVES: Independent of the underlying disease, intensive care unit survivors often suffer from cognitive, physical and mental impairments, also known as post-intensive care syndrome (PICS). Specific follow-up services are recommended for these patients. This study aims to capture the perspectives of health care providers on the development of the first intensive care unit follow-up-clinic in Germany.

RESEARCH METHODOLOGY: A qualitative study with six focus groups (n = 41) and six expert interviews, followed by a quantitative survey was conducted, involving nine different professions. Qualitative and quantitative data were analysed using thematic analysis and descriptive statistics, respectively.

FINDINGS: Participants described aftercare of former intensive care unit patients as complex and appreciated the idea of an intensive care unit follow-up clinic to improve continuity of care and multidisciplinary collaboration. The favoured model combined diagnostics and targeted referral of patients to specialists and therapists with the provision of information. In the survey, participants disagreed on how to implement this referral system but agreed that assessments should be multidimensional.

CONCLUSION: The necessity of and important criteria for the design of an intensive care unit follow-up clinic were identified. We will integrate these data with further evidence to develop a concept for a complex intervention.

PMID:34304978 | DOI:10.1016/j.iccn.2021.103084

Eur J Surg Oncol. 2021 Jul 20:S0748-7983(21)00635-1. doi: 10.1016/j.ejso.2021.07.014. Online ahead of print.

ABSTRACT

BACKGROUND: To investigate the prognostic value of dual-energy CT (DECT) based radiomics to predict disease-free survival (DFS) and overall survival (OS) for patients with advanced gastric cancer (AGC) after neoadjuvant chemotherapy (NAC).

METHODS: From January 2014 to December 2018, a total of 156 AGC patients were enrolled and randomly allocated into a training cohort and a testing cohort at a ratio of 2:1. Volume of interest of primary tumor was delineated on eight image series. Four feature sets derived from pre-NAC and delta radiomics were generated for each survival arm. Random survival forest was used for generating the optimal radiomics signature (RS). Statistical metrics for model evaluation included Harrell’s concordance index (C-index) and the average cumulative/dynamic AUC throughout follow-up. A clinical model and a combined Rad-clinical model were built for comparison.

RESULTS: The pre-IU (derived from iodine uptake images before NAC) RS performed best for DFS and OS in the testing cohort (C-indices, 0.784 and 0.698; the average cumulative/dynamic AUCs, 0.80 and 0.77). When compared with the clinical model, the radiomics model had significantly higher C-index to predict DFS in the testing cohort (0.784 vs. 0.635, p < 0.001), but no statistical difference was found for OS (0.698 vs. 0.680, p = 0.473). The combined Rad-clinical models showed improved performance in the testing cohort, with C-indices of 0.810 and 0.710 for DFS and OS, respectively.

CONCLUSION: DECT-derived radiomics serves as a promising non-invasive biomarker to predict survival for AGC patients after NAC, providing an opportunity for transforming proper treatment.

PMID:34304951 | DOI:10.1016/j.ejso.2021.07.014

Auris Nasus Larynx. 2021 Jul 23:S0385-8146(21)00194-2. doi: 10.1016/j.anl.2021.07.002. Online ahead of print.

ABSTRACT

OBJECTIVE: Limited low frequency (LF) pitch and temporal fine structure (TFS) sensitivity have been thought to contribute significantly to poor music perception in cochlear implant (CI) listeners. Thus, this study aimed to evaluate music perception in relation to LF pitch perception and temporal coding, specifically in people with bimodal stimulation as a promising approach to improve spectro-temporal sensitivity in CI listeners.

METHODS: Eleven postlingually deafened bimodal listeners participated in the study (mean age=55.5 years, range 36-75 years, SD=11.7). LF pitch/TFS sensitivity was evaluated by using two recently developed tests: Harmonic Intonation (HI) and Disharmonic Intonation (DI). The music perception protocol was based on three audio files in the genres of Classical, Jazz and Soul music and a music quality questionnaire regarding four subjective aspects: Clarity, Pleasantness, Naturalness and General Quality of Sounds.

RESULTS: CI alone and bimodal findings showed statistically significant differences for both temporal coding and music perception. DI findings showed statistically significant correlations with music quality ratings (p<0.05).

CONCLUSION: Bimodal music quality ratings were significantly better, indicating a significant improvement in the quality of music towards being significantly more clear, more natural, more pleasant, and better quality. Similarly, bimodal HI/DI findings improved significantly, although the amount of benefit was greater for the DI task with spectral information only below 300 Hz. Significant DI correlations with music quality ratings supported the test to be more indicative of better temporal coding of LF residual hearing and its effects on music perception.

PMID:34304943 | DOI:10.1016/j.anl.2021.07.002