Health-related quality of life among adult patients with cancer in Uganda - a cross-sectional study

OBJECTIVES

The study aimed to investigate the prevalence and factors associated with poor health-related quality of life in adults with cancer in Uganda.

METHODS

This cross-sectional study surveyed 385 adult patients (95% response rate) with various cancers at a specialised oncology facility in Uganda. Health-related quality of life was measured using the EORTC QLQ-C30 in the Luganda and English languages. Predetermined validated clinical thresholds were applied to the instrument in order to identify patients with poor health-related quality of life, that is, functional impairments or symptoms warranting concern. Multivariable logistic regression was used to identify factors associated with poor health-related quality of life in six subscales: Physical Function, Role Function, Emotional Function, Social Function, Pain and Fatigue.

RESULTS

The mean age of the patients was 48 years. The majority self-reported poor functioning ranging between 61% (Emotional Function) to 79% (Physical Function) and symptoms (Fatigue 63%, Pain 80%) at clinically concerning levels. These patients were more likely to be older, without formal education and not currently working. Being an inpatient at the facility and being diagnosed with cervical cancer or leukaemia was a predictor of poor health-related quality of life.

CONCLUSION

Improvement of cancer care in East Africa requires a comprehensive and integrated approach that addresses various challenges specific to the region. Such strategies include investment in healthcare infrastructure, for example, clinical guidelines to improve pain management, and patient education and support services.

Factors influencing fatigue among patients undergoing hemodialysis: a multi-center cross-sectional study

Fatigue has been reported to be the most common symptom experienced by patients receiving hemodialysis (HD) therapy. Fatigue can lead to a reduction in their ability to engage in both routine and self-care activities, which can negatively affect their self-confidence and quality of life. This study aimed to determine the level of fatigue and the factors that affecting its level among patients receiving uHD.

METHODS

A cross-sectional design was utilized to explore the level of fatigue among patients receiving maintenance HD using the Mul-tidimensional Assessment of Fatigue (MAF) scale. Data were collected from four dialysis centers in two Saudi Arabia cities, Hail and Al-Qassim, between January 2022 and October 2022.

RESULTS

The questionnaire was completed by 236 patients. Older patients, male patients, and retired pa-tients reported significantly higher levels of fatigue (p < 0.001). In contrast, marital status, educational level, and financial status did not significantly affect the level of fatigue among patients (p = 0.193, 0.285, and 0.126, respectively). Patients who had seven or more dependents reported more fatigue than those who had lower levels of fatigue or who did not have dependents (p = 0.004). In addition, patients who had a regular exercise regimen reported significantly lower fatigue than those who did not have an exercise regimen (p = 0.011). Multiple linear regression demonstrated that employment status (student), comorbidity condition (one chronic disease), dialysis duration, satisfaction with dialysis time, and dialysis time were found to affect the fatigue scores (R2 = 0.302, p ˂ 0.001).

CONCLUSION

The findings of this study gives a broader understanding of factors influencing fatigue among patients with HD that will help to develop strategies of more focused interventions to reduce fatigue among patients with HD.

Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study

BACKGROUND

Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations.

METHODS

To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data were collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from >2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg.

RESULTS

Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions.

LIMITATIONS

The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometric data.

CONCLUSIONS

In summary, our results suggest a strong link between post-COVID depression and fatigue, highlighting the need for integrative treatment approaches.

Sleep duration is associated with overnight changes in perceived fatigue in elite women soccer players

The current study aimed to describe sleep habits and analyze the associations between sleep indices, changes in perceived fatigue (Δ Fatigue) and external training load measures in women soccer players during a 7-day training camp. Sixteen elite women soccer players (age: 25.4 ± 3.6 years; mean ± SD) from the Portuguese Women's National Team participated in the study. Sleep indices (sleep duration and efficiency) were measured using a wrist-worn accelerometer. External training loads measures were measured using GPS devices. Players also reported perceived fatigue using a Likert scale (1 - very, very low to 7 - very, very high) before and immediately after sleep. Players' within-subject coefficient of variation for sleep duration was 5.6%, and 4.6% for sleep efficiency. Individually, 8 players (50%) slept less than 7 h per night throughout the training camp, and the same number of athletes had a sleep efficiency lower than 85%. Similar values (p<0.05) were measured for sleep duration and efficiency between training and match days. A moderate negative within-subjects correlation was found between Δ Fatigue and sleep duration (adjusted for pre-sleep fatigue) [r = -0.32; 95% Confidence Interval (-0.51 - -0.08); p = 0.04]. These findings reinforce the importance of sleep in the recovery process of elite women soccer players, showing that more sleep may help to attenuate fatigue.

Fatigue, depression, and sleep disorders are more prevalent in patients with metabolic-associated fatty liver diseases

AIM

To determine the prevalence and risk factors for depression, sleep disturbances, and exhaustion in MAFLD patients.

METHODS

Two hundred twenty-four consecutive patients with MAFLD attending the outpatient clinic from April to October 2023; were subjected to clinical evaluation, laboratory testing including non-invasive laboratory markers, fibroscan (measuring steatosis and fibrosis), and different quantitative and qualitative fatigue scores. A control group including 342 patients without MAFLD was taken.

RESULTS

The prevalence of fatigue, depression, and sleeping disorders in the MAFLD group was 67.8%, 75%, 62.5% vs 21%, 16.4%, and 19.5% in the control group respectively ( P = <0.001, P = <0.001 and P = <0.001). MAFLD with fatigue was significantly associated with the presence and severity of steatosis and fibrosis by fibroscan ( P = <0.0001). By univariate and multivariate analysis: age, BMI, waist circumference, T2DM, hypertension, steatosis, fibrosis, and Fib-4 were considered risk factors for fatigue in the MAFLD group. The age, high social level, diabetes, hypertension, steatosis, fibrosis, and fib-4 were considered, by univariate and multivariate analysis, independent risk factors for depression in the MAFLD group. age, BMI, waist circumference, diabetes, hypertension, steatosis, fibrosis, and fib-4 were independent risk factors for sleep disorders in MAFLD.

CONCLUSION

Fatigue, sleeping disorders, and depression are more prevalent in MAFLD patients than in the general population. The lower health utility scores in patients with MAFLD are associated with more advanced stages of the disease.

Predictors of quality of life, functional status, depression and fatigue in early arthritis: comparison between clinically suspect arthralgia, unclassified arthritis and rheumatoid arthritis

BACKGROUND

Rheumatoid arthritis (RA) is often preceded by symptomatic phases during which classification criteria are not fulfilled. The health burden of these "at-risk" stages is not well described. This study assessed health-related quality of life (HRQoL), function, fatigue and depression in newly presenting patients with clinically suspect arthralgia (CSA), unclassified arthritis (UA) or RA.

METHODS

Cross-sectional analysis of baseline Patient-Reported Outcome Measures (PROMs) was conducted in patients from the Birmingham Early Arthritis Cohort. HRQoL, function, depression and fatigue at presentation were assessed using EQ-5D, HAQ-DI, PHQ-9 and FACIT-F. PROMs were compared across CSA, UA and RA and with population averages from the HSE with descriptive statistics. Multivariate linear regression assessed associations between PROMs and clinical and sociodemographic variables.

RESULTS

Of 838 patients included in the analysis, 484 had RA, 200 had CSA and 154 had UA. Patients with RA reported worse outcomes for all PROMs than those with CSA or UA. However, "mean EQ-5D utilities were 0.65 (95%CI: 0.61 to 0.69) in CSA, 0.61 (0.56 to 0.66) in UA and 0.47 (0.44 to 0.50) in RA, which was lower than in general and older (≥ 65 years) background populations." In patients with CSA or UA, HRQoL was comparable to chronic conditions such as heart failure, severe COPD or mild angina. Higher BMI and older age (≥ 60 years) predicted worse depression (PHQ-9: -2.47 (-3.85 to -1.09), P < 0.001) and fatigue (FACIT-F: 5.05 (2.37 to 7.73), P < 0.001). Women were more likely to report worse function (HAQ-DI: 0.13 (0.03 to 0.21), P = 0.01) and fatigue (FACIT-F: -3.64 (-5.59 to -1.70), P < 0.001), and residents of more deprived areas experienced decreased function (HAQ-DI: 0.23 (0.10 to 0.36), P = 0.001), greater depression (PHQ-9: 1.89 (0.59 to 3.18), P = 0.004) and fatigue (FACIT-F: -2.60 (-5.11 to 0.09), P = 0.04). After adjustments for confounding factors, diagnostic category was not associated with PROMs, but disease activity and polypharmacy were associated with poorer performance across all PROMs.

CONCLUSIONS

Patient-reported outcomes were associated with disease activity and sociodemographic characteristics. Patients presenting with RA reported a higher health burden than those with CSA or UA, however HRQoL in the pre-RA groups was significantly lower than population averages.

Development and validation of a nomogram for predicting sever cancer-related fatigue in patients with cervical cancer

OBJECTIVE

Cancer-related fatigue (CRF) has been considered the biggest influencing factor for cancer patients after surgery. This study aimed to develop and validate a nomogram for severe cancer-related fatigue (CRF) patients with cervical cancer (CC).

METHODS

A cross-sectional study was conducted to develop and validate a nomogram (building set = 196; validation set = 88) in the Department of Obstetrics and Gynecology of a Class III hospital in Shenyang, Liaoning Province. We adopted the questionnaire method, including the Cancer Fatigue Scale (CFS), Medical Uncertainty in Illness Scale (MUIS), Medical Coping Modes Questionnaire (MCMQ), Multidimensional Scale of Perceived Social Support (MSPSS), and Sense of Coherence-13 (SOC-13). Binary logistic regression was used to test the risk factors of CRF. The R4.1.2 software was used to develop and validate the nomogram, including Bootstrap resampling method, the ability of Area Under Curve (AUC), Concordance Index (C-Index), Hosmer Lemeshow goodness of fit test, Receiver Operating Characteristic (ROC) curve, Calibration calibration curve, and Decision Curve Analysis curve (DCA).

RESULTS

The regression equation was Logit(P) = 1.276-0.947 Monthly income + 0.989 Long-term passive smoking - 0.952 Physical exercise + 1.512 Diagnosis type + 1.040 Coping style - 0.726 Perceived Social Support - 2.350 Sense of Coherence. The C-Index of the nomogram was 0.921 (95% CI: 0.877∼0.958). The ROC curve showed the sensitivity of the nomogram was 0.821, the specificity was 0.900, and the accuracy was 0.857. AUC was 0.916 (95% CI: 0.876∼0.957). The calibration showed that the predicted probability of the nomogram fitted well with the actual probability. The DCA curve showed when the prediction probability was greater than about 10%, the benefit of the nomogram was positive. The results in the validation group were similar.

CONCLUSION

This nomogram had good identifiability, accuracy and clinical practicality, and could be used as a prediction and evaluation tool for severe cases of clinical patients with CC.

SARS-CoV-2 infection is associated with self-reported post-acute neuropsychological symptoms within six months of follow-up

BACKGROUND

Chronic neuropsychological sequelae following SARS-CoV-2 infection, including depression, anxiety, fatigue, and general cognitive difficulties, are a major public health concern. Given the potential impact of long-term neuropsychological impairment, it is important to characterize the frequency and predictors of this post-infection phenotype.

METHODS

The Epidemiology, Immunology, and Clinical Characteristics of Emerging Infectious Diseases with Pandemic Potential (EPICC) study is a longitudinal study assessing the impact of SARS-CoV-2 infection in U.S. Military Healthcare System (MHS) beneficiaries, i.e. those eligible for care in the MHS including active duty servicemembers, dependents, and retirees. Four broad areas of neuropsychological symptoms were assessed cross-sectionally among subjects 1-6 months post-infection/enrollment, including: depression (Patient Health Questionnaire-9), anxiety (General Anxiety Disorder-7), fatigue (PROMIS® Fatigue 7a), and cognitive function (PROMIS® Cognitive Function 8a and PROMIS® Cognitive Function abilities 8a). Multivariable Poisson regression models compared participants with and without SARS-CoV-2 infection history on these measures, adjusting for sex, ethnicity, active-duty status, age, and months post-first positive or enrollment of questionnaire completion (MPFP/E); models for fatigue and cognitive function were also adjusted for depression and anxiety scores.

RESULTS

The study population included 2383 participants who completed all five instruments within six MPFP/E, of whom 687 (28.8%) had at least one positive SARS-CoV-2 test. Compared to those who had never tested positive for SARS-CoV-2, the positive group was more likely to meet instrument-based criteria for depression (15.4% vs 10.3%, p<0.001), fatigue (20.1% vs 8.0%, p<0.001), impaired cognitive function (15.7% vs 8.6%, p<0.001), and impaired cognitive function abilities (24.3% vs 16.3%, p<0.001). In multivariable models, SARS-CoV-2 positive participants, assessed at an average of 2.7 months after infection, had increased risk of moderate to severe depression (RR: 1.44, 95% CI 1.12-1.84), fatigue (RR: 2.07, 95% CI 1.62-2.65), impaired cognitive function (RR: 1.64, 95% CI 1.27-2.11), and impaired cognitive function abilities (RR: 1.41, 95% CI 1.15-1.71); MPFP/E was not significant.

CONCLUSIONS

Participants with a history of SARS-CoV-2 infection were up to twice as likely to report cognitive impairment and fatigue as the group without prior SARS-CoV-2 infection. These findings underscore the continued importance of preventing SARS-CoV-2 infection and while time since infection/enrollment was not significant through 6 months of follow-up, this highlights the need for additional research into the long-term impacts of COVID-19 to mitigate and reverse these neuropsychological outcomes.

Differences in psychiatric comorbidity patterns in patients diagnosed with chronic stress-induced exhaustion disorder and depression - A cohort study in the total population of Region Stockholm

The high prevalence of stress-related disorders and depression underscores the urgent need to unravel their impact on individual well-being. This study aim to investigate common psychiatric and stress-related diagnoses, along with postviral fatigue, in individuals with prior stress-induced exhaustion disorder (SED) and prior depression compared to those without prior SED or depression, and to study whether the psychiatric comorbidity patterns differ. The study includes individuals in Region Stockholm who, in 2011, did not have a diagnosis of SED or depression. ICD-10 diagnosis of SED, depression, or both, recorded in 2012-2013, were compared to individuals without prior SED or depression in a cohort (n = 1,362,886), aged 18 to 65. Odds ratios (OR) with 99 % confidence intervals, adjusted for age and neighborhood socioeconomic status, were calculated for psychiatric disorders and post-viral fatigue in 2014-2022. Patients with prior SED showed associations primarily with stress related diagnoses, including acute stress reaction, reaction to severe stress, as well as post-COVID-19 and post-viral fatigue syndrome. These ORs were all larger for SED than depression. Depression was primarily associated with post-traumatic stress disorder (PTSD), alcohol related and substance use disorders, schizophrenia, schizotypal disorders, delusional disorders, manic episode, bipolar affective disorder, persistent mood disorder, neurotic disorder, borderline personality disorder, autistic disorder, Asperger's syndrome, attention -deficit hyperactivity disorder, attention-deficit disorders ADHD/ADD), and suicide attempt. These ORs were all higher for depression, although autistic disorders, ADHD/ADD and PTSD were also highly associated with prior SED (OR > 3.5). The divergent psychiatric comorbidity patterns suggest different underlying mechanisms and clinical prognosis.

Longitudinal course and predictors of health-related quality of life, mental health, and fatigue, in non-hospitalized individuals with or without post COVID-19 syndrome

BACKGROUND

Long-term information on health-related quality of life (HRQOL) and mental health of non-hospitalized individuals with "post COVID-19 syndrome" (PCS) is scarce. Thus, the objectives of the present study were to compare HRQOL and mental health of individuals with and without PCS in a German sample of non-hospitalized persons after SARS-CoV-2 infection, to characterize the long-term course up to 2 years and to identify predictors for post COVID-19 impairments.

METHODS

Individuals with past SARS-CoV-2 infection were examined at the University Hospital of Augsburg from November 2020 to May 2021 and completed a postal questionnaire between June and November 2022. Participants who self-reported the presence of fatigue, dyspnea on exertion, memory problems or concentration problems were classified as having PCS. HRQOL was assessed using the Veterans RAND 12-Item Health Survey, mental health was measured by the Patient Health Questionnaire and the Fatigue Asessment Scale was used to assess fatigue severity. Multivariable linear regression models with inverse probability weighting were used to determine the association between PCS and health outcomes.

RESULTS

From the 304 participants (58.2% women, median age 52 years), 210 (69.1%) were classified as having PCS in median 26 months after SARS-CoV-2 infection. Persons with PCS showed significantly more often depressive and anxiety disorders. PCS was independently and significantly associated with higher levels of depression, post-traumatic stress and fatigue, as well as poorer physical and mental HRQOL in median 9 months as well as 26 months after SARS-CoV-2 infection. A large number of acute symptoms and a prior diagnosis of depression were independently associated with poor mental health and HRQOL. While post-traumatic stress and mental HRQOL improved from 9 months to 26 months post infection onset, depressiveness, fatigue and physical HRQOL remained stable in both, persons with and without PCS.

CONCLUSIONS

PCS in non-hospitalized persons after SARS-CoV-2 infection is often associated with long-term impairments of mental health and HRQOL outcomes.

Effect of self-regulating fatigue on health-related quality of life of middle-aged and elderly patients with recurrent stroke: a moderated sequential mediation model

Although the association between self-regulation of fatigue and health-related quality of life (HRQoL) has been confirmed, the potential mechanism remains unclear. This study aimed to explore the role of health literacy, health behavior, and exercise frequency in the relationship among middle-aged and elderly patients with recurrent stroke. A cross-sectional survey was conducted. A total of 176 patients completed the survey, in which self-regulation of fatigue, HRQoL, health literacy and health behavior were measured by questionnaires. Based on Bootstrap analyses, a moderating sequential mediation model using PROCESS software was constructed with health literacy and health behavior as mediators and exercise frequency as the moderator. Of the participants, the mean age was 65.44 ± 12.43 years. Self-regulation of fatigue was found to affect HRQoL indirectly through two significant mediation pathways: (1) health literacy (β=-0.11, 95%CI = -0.20, -0.03), which accounted for 28.79% of the total effect, and (2) health literacy and health behavior (β=-0.02, 95%CI = -0.05, -0.00), which accounted for 4.80% of the total effect. Exercise frequency moderated the relationship between self-regulating fatigue and HRQoL. Specifically, the interaction term between self-regulating fatigue and exercise frequency significantly predicted HRQoL (β = 0. 25, t = 2.55, p < 0.05). These findings highlight the role of health literacy and health behavior as sequential mediators of the relationship between self-regulating fatigue and HRQoL. Moreover, exercise frequency moderated the relationship between self-regulating fatigue and HRQoL. Encouraging patients with recurrent stroke to increase exercise frequency appropriately might improve HRQoL for patients with poor health literacy and health behavior.

Stressful life events and depression and fatigue in people with multiple sclerosis: a cross-sectional analysis of an international cohort

BACKGROUND

Relationships between stressful life events (SLEs) and health outcomes in people living with multiple sclerosis (plwMS), beyond relapse, are not well-established. We examined associations between SLEs and fatigue and symptoms of depression in plwMS.

METHODS

948 participants were queried whether they had experienced any of the 16 SLEs (Holmes-Rahe Social Readjustment Rating Scale) in the preceding 12 months. SLEs were summated to estimate SLE number and SLE load (weighted for the degree of associated stress). Cross-sectional associations between SLE (number, load and individual) and fatigue, and depressive symptoms were examined using log-binomial or log-multinomial regression adjusted for age, sex, relapse symptoms, education, MS type at baseline, disability, fatigue, comorbidity, depression, and antidepressant/antifatigue medications, as appropriate. Sub-analyses restricted to SLEs with a negative emotional impact were performed.

RESULTS

Median SLE number and load were 2 (IQR 1-2) and 57 (IQR 28-97), respectively. SLE number and load were not associated with a higher prevalence of fatigue, or depressive symptoms, even when restricting analyses to SLEs with a perceived negative emotional impact. A new relationship or family member with a negative impact was associated with a threefold and 2.5-fold higher prevalence of depressive symptoms, respectively. Serious illness was associated with a 28% higher prevalence of depressive symptoms.

CONCLUSION

Psychological support for SLEs, and/or intervention targeted to SLE appraisal, may be beneficial in mitigating the adverse effects of SLEs with a perceived negative emotional impact on depressive symptoms in plwMS. Potential associations between serious illness and increased prevalence of depressive symptoms may warrant further investigation.

Asthma is a risk factor for general fatigue of long COVID in Japanese nation-wide cohort study

BACKGROUND

Multiple prolonged symptoms are observed in patients who recover from an acute COVID-19 infection, which is defined as long COVID. General fatigue is frequently observed in patients with long COVID during acute and post-acute phases. This study aimed to identify the specific risk factors for general fatigue in long COVID.

METHODS

Hospitalized patients with COVID-19 aged over 18 years were enrolled in a multicenter cohort study at 26 medical institutions. Clinical data during hospitalization and patient-reported outcomes after discharge were collected from medical records, paper-based questionnaires, and smartphone apps.

RESULTS

Among prolonged symptoms through 1-year follow-ups, general fatigue was the most interfering symptom in daily life. Patients with protracted fatigue at all follow-up periods had lower quality of life scores at the 12-month follow-up. Univariate logistic regression analysis of the presence or absence of general fatigue at the 3-month, 6-month, and 12-month follow-ups identified asthma, younger age, and female sex as risk factors for prolonged fatigue. Multivariable logistic regression analysis revealed that asthma was an independent risk factor for persistent fatigue during the 12-month follow-up period. Longitudinal changes in the symptoms of patients with or without asthma demonstrated that general fatigue, not cough and dyspnea, was significantly prolonged in patients with asthma.

CONCLUSIONS

In a Japanese population with long COVID, prolonged general fatigue was closely linked to asthma. A preventive approach against COVID-19 is necessary to avoid sustained fatigue and minimize social and economic losses in patients with asthma.

Symptom networks in older adults with cancer: A network analysis

INTRODUCTION

Due to aging, older adults with cancer (OAC) may be confronted with a complex interplay of multiple age-related issues; coupled with receiving cancer treatment, OAC may experience multiple concurrent symptoms that require the identification of the core symptom for effective management. Constructing symptom networks will help in the identification of core symptoms and help achieve personalized and precise interventions. Currently, few studies have used symptom networks to identify core symptoms in OAC. Our objectives were to construct symptom networks of OAC, explore the core symptoms, and compare the differences in symptom networks among various subgroups.

MATERIALS AND METHODS

Secondary analysis was performed using data from 485 OAC collected in 2021 from a cross-sectional survey named the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory (MDASI) was used to assess the incidence and severity of cancer-related symptoms. We used the R package to construct symptom networks and identify the centrality indices. The network comparison test was used to compare network differences among the subgroups.

RESULTS

The most common and severe symptoms reported were fatigue, disturbed sleep, and difficulty remembering. The network density was 0.718. Vomiting (rs = 1.81, rb = 2.13), fatigue (rs = 1.54, rb = 1.93), and sadness (rs = 0.81, rb = 0.69) showed the highest strength values, which suggested that these symptoms were more likely to co-occur with other symptoms. The network comparison tests showed significant differences in symptom network density between the subgroups categorized as survival "< 5 years" and survival "≥ 5 years" (p = 0.002), as well as between the those with comorbidities and those without comorbidities (p = 0.037).

DISCUSSION

Our study identified symptom networks in 485 OAC. Vomiting, fatigue, and sadness were important symptoms in the symptom networks of OAC. The symptom networks differed among populations with different survival durations and comorbidities. Our network analysis provides a reference for future targeted symptom management and interventions in OAC. In the future, conducting dynamic research on symptom networks will be crucial to explore interaction mechanisms and change trends between symptoms.

Incidence of antibody-drug conjugate-related fatigue in patients with breast cancer: A systematic review and meta-analysis

BACKGROUND

Numerous studies have reported the efficacy of antibody-drug conjugates (ADCs) for treating breast cancer. However, during cytotoxic drug treatment, long-term disabling fatigue is common. Moreover, studies in the relevant literature have indicated that fatigue can significantly increase the incidence of depression and sleep disorders. Therefore, this meta-analysis aims to evaluate the incidence of fatigue in breast cancer survivors treated with ADCs.

METHODS

PubMed, EMBASE, Web of Science, and Cochrane Library databases were systematically searched for articles and conference abstracts published before March 16, 2023. Further, two authors independently extracted data from the included studies. The primary outcome of this study was the incidence of all-grade fatigue caused by the use of ADCs in patients with breast cancer. Finally, a random-effects model was used to calculate the incidence and 95% confidence intervals (CIs) of the outcome.

RESULTS

Overall, 7963 patients from 31 studies were included in this meta-analysis to assess the incidence of fatigue caused by the use of approved and marketed ADCs in patients with breast cancer. Notably, the incidence of all-grade fatigue during ADC monotherapy was 39.84% (95% CI, 35.09%-44.69%). In subgroup analyses, among ADCs, the incidence of trastuzumab deruxtecan-induced fatigue was the highest, with an all-grade fatigue incidence of 47.05% (95% CI, 42.38%-51.75%). Meanwhile, the incidence of trastuzumab emtansine (T-DM1)-induced all-grade fatigue was 35.17% (95% CI, 28.87%-41.74%), which was the lowest among ADCs. Further, the incidence of all-grade fatigue due to sacituzumab govitecan was 42.82% (95% CI, 34.54%-51.32%), which was higher than that due to T-DM1. Moreover, the incidence of fatigue was higher with T-DM1 combination therapy than with monotherapy.

CONCLUSIONS

Clinicians have highlighted the high incidence of ADC-related fatigue and its negative impact on patients' physical and mental health, making fatigue an important research variable. The results of this study will further contribute to a comprehensive understanding of ADCs, which have some clinical importance and are of great benefit to patients with breast cancer.

Examination of Risk Factors Associated With Falls and Injurious Falls in People With Multiple Sclerosis: An Updated Nationwide Study

OBJECTIVE

To provide an update on risk factors associated with falls and injurious falls among people with multiple sclerosis (PwMS) in the United States.

DESIGN

Nationwide cross-sectional web-based survey.

SETTING

Community setting.

PARTICIPANTS

Adult PwMS (n=965).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Participants completed self-report surveys of demographics, clinical data, concerns about falling, occurrence of falls, factors associated with falls, and injurious falls in the past 6 months. Participants also completed Patient-Reported Outcomes Measurement Information System (PROMIS) measures of depression, pain interference, and physical function, and the Fatigue Severity Scale.

RESULTS

The most common self-reported factors associated with falls included personal factors such as poor balance (75%), muscle weakness (54%), and/or fatigue (35%), environmental factors such as general surface conditions (37%) and/or distraction (15%), and activities-related factors such as urgency to complete a task (35%) and/or multitasking (27%). Logistic regression analyses indicated that higher fatigue severity (OR=1.19, P<.01) and higher pain interference (OR=1.02, P<.01) were associated with higher odds of experiencing at least 1 fall. Any level of concern, even minimal concern about falling was also significantly associated with a higher odd of experiencing at least 1 fall (ORs range 2.78 - 3.95, all P<.01). Fair to very high concerns about falling compared with no concern about falling (ORs range=5.17 - 10.26, all P<.05) was significantly associated with higher odds of sustaining an injurious fall.

CONCLUSIONS

Findings suggest falls prevention approaches in PwMS should be multifactorial and include personal, environmental, and activities-related factors. Particular attention on fatigue, pain, and concern about falling may be needed to reduce incidence of falls and injurious falls in this population.

Posttraumatic growth and health-related quality of life in cancer survivors: Does fatigue moderate the link?

Interest in post-traumatic growth (PTG) as a predictor of health-related quality of life (HRQoL) is currently gaining attention. However, current evidence is still inconclusive on the nature of this relationship. The first objective of this study was to investigate the relationship between PTG and global HRQoL among cancer survivors. We further investigated the moderating role of fatigue in the association between PTG and global HRQoL. In the FiX study (Fatigue in Germany - Examination of prevalence, severity, and state of screening and treatment) cancer-related fatigue (EORTC QLQ-FA12), PTG inventory and global HRQoL (EORTC QLQ-C30) were assessed four years after cancer diagnosis in 1316 cancer-free survivors (mean age = 67.28, SD = 11.05, 51.4% female). Multiple linear regression analysis and moderation analysis were performed. The results showed that PTG had a convex quadratic relationship with global HRQoL (p < 0.001). Contrary to our hypothesis, fatigue did not moderate the relationship between PTG (linear and quadratic terms) and global HRQoL, neither when considering the overall PTG score nor for any PTG subdimension. In conclusion, PTG has a convex quadratic relationship with long-term global HRQoL that was not modified by persisting fatigue. Future statistical models investigating PTG and global HRQoL should take this non-linear relationship into account. Aiming to increase PTG might contribute to, but is likely not sufficient for high levels of global HRQoL in cancer survivors in the long run.

Social participation of rheumatoid arthritis patients: Does illness perception play a role?

OBJECTIVE

Social participation is an important aspect associated with health-related outcomes in chronic diseases. However, little is known about the factors that may affect participation in patients with rheumatoid arthritis (RA). We aimed to examine whether pain, fatigue, anxiety, depression, and illness perception are associated with social participation in patients with RA when controlled for clinical and sociodemographic variables. We also analysed the mediating role of illness perception in the association between physical and psychological variables on social participation.

METHOD

We included 157 RA patients (84.7% females; mean age 56.4 ± 13.9 years) who completed the Participation Scale, Brief Illness Perception Questionaire, Generalized Anxiety Disorder Scale, Patient Health Questionnaire, 36-item Short Form Health Survey, and the Visual Analogue Scale. Multiple linear regressions and mediation analyses were used to analyze the data.

RESULTS

In the final regression models, illness perception (β = .42; p ≤ .001) and functional disability (β = .21; p ≤ .05) were associated with social participation. Income (β = -.18; p ≤ .05) lost its significance when physical variables were added to the model, and pain (β = .24; p ≤ .05) and fatigue (β = -.24; p ≤ .05) when psychological distress was added. No significant role of anxiety, depression, disease activity, or age was identified using regression analyses. Illness perception mediated the association of pain, fatigue, anxiety, and depression with social participation, and the indirect effect varied from 65% to 98%.

CONCLUSIONS

Illness perceptions may significantly diminish the impacts of pain, fatigue, anxiety, and depression on social participation in individual RA patients. Therefore, RA patients could benefit from psychological interventions aimed at tackling negative illness perceptions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effect of sex on psychological distress and fatigue over time in a prospective cohort of cancer survivors

BACKGROUND

Studies indicate a higher level of distress in women than men with cancer, but whether this difference is retained over time is unknown. We studied the frequency and level of distress and fatigue during time according to gender in a cohort of cancer survivors.

PATIENTS AND METHODS

In this prospective study, cancer survivors were invited to undergo a psychological session immediately before the medical visit. Distress was assessed by the distress thermometer, and fatigue was assessed by the ESAS-r scale. Patients underwent follow-up visits to assess changes over time.

RESULTS

A total of 305 patients and 568 visits were performed with a median follow-up of 15.8 months. At baseline, females, young age, and breast cancer patients had significantly higher distress. However, there was an increase in distress of 0.29 points every 6 months in males (95% CI, 0.09-0.50) versus no change in females (0.03 points, 95% CI, - 0.09-0.15; p-interaction = 0.01). The different behavior of cancer distress during time according to gender was more evident in subjects aged 68 or older due to increasing physical problems in men (p-interaction = 0.005). There was no change in fatigue with time according to sex.

CONCLUSIONS

Women, younger age, and breast cancer patients had increased cancer distress at the initial visit. However, women tend to stabilize during follow-up, whereas men tend to worsen their distress, especially because of physical and emotional problems, suggesting different coping capabilities.

TRIAL REGISTRATION

The study is registered at ClinicalTrials.gov NCT05122052.

IMPLICATIONS FOR CANCER SURVIVORS

Interventions aimed at improving recognition of emotions related to disease experience in male cancer survivors appear necessary.

Work status changes and associated factors in a nationwide sample of Norwegian long-term breast cancer survivors

PURPOSE

The study aims to describe work status at diagnosis and 8 years post-diagnosis in a nationwide sample of breast cancer survivors (BCSs), and investigate associated and self-reported factors of reduced work status.

METHODS

Women aged 20-65 years when diagnosed with stage I-III breast cancer (BC) in 2011 or 2012 were invited to participate in a questionnaire study in 2019 (n = 2803), of whom 49% (n = 1361) responded. For this sub-study, we included 974 BCSs below the legal retirement age in Norway (< 67 years) at survey and with complete work status data. Reduced work status was defined as being in paid work at BC diagnosis and not working at time of survey. Logistic regression analyses were applied to identify factors associated with reduced work status.

RESULTS

Of BCSs who were in paid work at diagnosis (n = 845), 63% maintained their work status to 8 years later. Reduced work status was associated with not living with children (OR .44, 95% CI .24-.82), age (OR 1.16, 95% CI 1.11-1.21), chemotherapy (OR 2.83, 95% CI 1.24-6.61), > 2 comorbid conditions (OR 2.27, 95% CI 1.16-4.32), cognitive function (OR .99, 95% CI .98-.99), fatigue (OR 1.02, 95% CI 1.01-1.03), and neuroticism (OR 1.57, 95% CI 1.00-2.46). BC and late effects were reported as reasons for reduced work status and disability.

CONCLUSIONS

The majority of BCSs who were in paid work at diagnosis were working 8 years later.

IMPLICATIONS FOR CANCER SURVIVORS

Our results suggest a need to focus on fatigue and reduced cognitive function among long-term BCSs, with the ultimate aim of improving work sustainability.

Prevalence, patterns, and predictors of patient-reported non-motor outcomes at 30 days after acute stroke: Prospective observational hospital cohort study

BACKGROUND

Adverse non-motor outcomes are common after acute stroke and likely to substantially affect quality of life, yet few studies have comprehensively assessed their prevalence, patterns, and predictors across multiple health domains.

AIMS

We aimed to identify the prevalence, patterns, and the factors associated with non-motor outcomes 30 days after stroke.

METHODS

This prospective observational hospital cohort study-Stroke Investigation in North and Central London (SIGNAL)-identified patients with acute ischemic stroke or intracerebral hemorrhage (ICH) admitted to the Hyperacute Stroke Unit (HASU) at University College Hospital (UCH), London, between August 1, 2018 and August 31, 2019. We assessed non-motor outcomes (anxiety, depression, fatigue, sleep, participation in social roles and activities, pain, bowel function, and bladder function) at 30-day follow-up using the Patient-Reported Outcome Measurement Information System-Version 29 (PROMIS-29) scale and Barthel Index scale.

RESULTS

We obtained follow-up data for 605/719 (84.1%) eligible patients (mean age 72.0 years; 48.3% female; 521 with ischemic stroke, 84 with ICH). Anxiety (57.0%), fatigue (52.7%), bladder dysfunction (50.2%), reduced social participation (49.2%), and pain (47.9%) were the commonest adverse non-motor outcomes. The rates of adverse non-motor outcomes in ⩾ 1, ⩾ 2 and ⩾ 3 domains were 89%, 66.3%, and 45.8%, respectively; in adjusted analyses, stroke due to ICH (compared to ischemic stroke) and admission stroke severity were the strongest and most consistent predictors. There were significant correlations between bowel dysfunction and bladder dysfunction (κ = 0.908); reduced social participation and bladder dysfunction (κ = 0.844); and anxiety and fatigue (κ = 0.613). We did not identify correlations for other pairs of non-motor domains.

CONCLUSION

Adverse non-motor outcomes were very common at 30 days after stroke, affecting nearly 90% of evaluated patients in at least one health domain, about two-thirds in two or more domains, and almost 50% in three or more domains. Stroke due to ICH and admission stroke severity were the strongest and most consistent predictors. Adverse outcomes occurred in pairs of domains, such as with anxiety and fatigue. Our findings emphasize the importance of a multi-domain approach to effectively identify adverse non-motor outcomes after stroke to inform the development of more holistic patient care pathways after stroke.

Understanding the incidence, duration, and severity of symptoms through daily symptom monitoring among frail and non-frail older patients receiving metastatic prostate cancer treatments

INTRODUCTION

Older adults with metastatic prostate cancer (mPC) experience high symptom burden associated with treatment. Frailty may exacerbate treatment toxicity. The aim of this study was to explore short-term treatment toxicity in patients with metastatic prostate cancer.

MATERIALS AND METHODS

Older adults with metastatic prostate cancer starting chemotherapy, androgen-receptor-axis targeted therapies, or radium-223 participated in a prospective, multicentre, observational study. Participants self-reported symptoms daily using the Edmonton Symptom Assessment System for one treatment cycle via internet or telephone. The most common moderate-to-severe symptoms (score≥4), their duration, and the proportion of participants who experienced improvements in symptom severity (score<4) after reporting moderate-to-severe symptoms at baseline were determined using descriptive statistics. Once-weekly symptom questionnaires were administered and analyzed using linear mixed effect models. Symptom incidence, duration, and frailty associations were assessed using t-tests and chi-square tests.

RESULTS

Ninety participants completed the study (mean age=77 years [standard deviation=6.1], 42% frail [Vulnerable Elders Survey≥3]). The most common moderate-to-severe symptoms across cohorts were fatigue (46.8%), insomnia (42.9%), poor wellbeing (41.2%), pain (37.5%), and decreased appetite (37.1%). Poor wellbeing had a higher incidence in frail participants (62.5% in frail vs. 31.4% in non-frail, p=0.039). Symptom duration varied across cohorts and between frail and non-frail participants. Among participants who reported moderate-to-severe symptoms at baseline, no more than 15% improved in any symptom. There were statistically significant improvements in weekly symptoms for fatigue, decreased appetite, and insomnia in the chemotherapy cohort only.

DISCUSSION

Limitations include a short follow-up duration, lack of a control group, and few radium-223 participants. Regular symptom monitoring can help clinicians understand temporal patterns and durations of symptoms and inform supportive care approaches.

Effects of physical and psychological symptoms on cancer-related fatigue among esophageal cancer patients

BACKGROUND

Cancer-related fatigue (CRF) is considered one of the most prevalent and distressing symptoms among cancer patients and may vary among patients with different cancer types. However, few studies have explored the influence of physical and psychological symptoms on CRF among esophageal cancer (EC) patients without esophagectomy. Therefore, this study aimed to examine the effects of physical and psychological symptoms on CRF among EC patients without esophagectomy.

METHODS

In the present study, a cross-sectional study was conducted from February 2021 to March 2022 in Liaoning Province, China. Among the 112 included participants, 97 completed our investigation. The questionnaires used consisted of the Brief Fatigue Inventory (BFI), the MD Anderson Symptom Inventory Gastrointestinal Cancer Module (MDASI-GI), the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), and demographic and clinical information. Multivariate linear regression was conducted to test the relationships between physical and psychological symptoms and CRF.

RESULTS

Of the 97 EC patients, 60.8% reported CRF (BFI ≥ 4). The mean age of the participants was 64.92 years (SD = 8.67). According to the regression model, all the variables explained 74.5% of the variance in CRF. Regression analysis indicated that physical symptoms, including constipation, diarrhoea, and difficulty swallowing, contributed to CRF. On the other hand, depressive symptoms increased the level of CRF among EC patients without esophagectomy.

CONCLUSIONS

Given the high prevalence of CRF among EC patients without esophagectomy, it is urgent to emphasize the importance of fatigue management interventions based on physical and psychological symptoms to alleviate CRF in EC patients.

Early change in fatigue, insomnia, and cognitive impairment and symptom severity 3 years post-treatment in breast cancer survivors

PURPOSE

Breast cancer is the most common form of cancer among Canadian women. Survivorship challenges include fatigue, sleep disturbance, and cognitive impairment. This study examined (1) symptom trajectory from diagnosis to 3 years; (2) whether symptom change in the first 4 months was associated with prolonged difficulties after 3 years; and (3) which factors were associated with deterioration in symptoms during the first 4 months.

METHODS

This prospective observational cohort study examined 53 women (Mage = 58.6, 96.2% White, 67.9% stage I) with newly diagnosed breast cancer over 3 years. Women completed assessments before starting treatment, 4 months, and 3 years after diagnosis. Three-way repeated-measures ANOVAs evaluated symptom trajectories. A repeated-measures mediation analysis was performed to determine if change from pre-treatment to 4 months accounted for change from pre-treatment to 3 years. A series of between-subjects ANOVAs were used to determine what variables significantly differed by deterioration status.

RESULTS

Perceived cognitive impairment and fatigue increased linearly from diagnosis to 3 years. Change in fatigue in the first 4 months fully accounted for its change over 3 years. Insomnia severity and sleep quality deteriorated from diagnosis to 4 months, but returned to pre-treatment levels at 3 years. Those whose fatigue and cognitive ability deteriorated during the first 4 months were younger.

CONCLUSION

Efforts to identify those who are at risk of experiencing fatigue, sleep disturbance, and cognitive impairment; monitor patients early after receiving a diagnosis; and provide targeted interventions may prevent long-term deterioration and improve well-being.

Prevalence and trajectories of neuropsychological post-COVID-19 symptoms in initially hospitalized patients

OBJECTIVE

To investigate the prevalence and trajectories of post-COVID-19 neuropsychological symptoms.

DESIGN

Prospective longitudinal multicentre cohort study.

SUBJECTS

A total of 205 patients initially hospitalized with SARS-CoV-2 (COVID-19).

METHODS

Validated questionnaires were administered at 9 months (T1) and 15 months (T2) post-hospital discharge to assess fatigue, cognitive complaints, insomnia, anxiety, depression, and post-traumatic stress symptoms.

RESULTS

Analyses included 184 out of 205 patients. Approximately 50% experienced high cognitive complaints at T1 and T2, while severe fatigue affected 52.5% at T1 and 55.6% at T2. Clinically relevant insomnia scores were observed in 25% of patients at both time-points. Clinically relevant anxiety scores were present in 18.3% at T1 and 16.7% at T2, depression in 15.0% at T1 and 18.9% at T2, and PTSD in 12.4% at T1 and 11.8% at T2. Most symptoms remained stable, with 59.2% of patients experiencing at least 1 persistent symptom. In addition, 31.5% of patients developed delayed-onset symptoms.

CONCLUSION

Post-COVID-19 cognitive complaints and fatigue are highly prevalent and often persist. A subgroup develops delayed symptoms. Emotional distress is limited. Screening can help identify most patients experiencing long-term problems. Future research should determine risk factors for persistent and delayed onset symptoms.

Persistence and emergence of new neuropsychological deficits following SARS-CoV-2 infection: A follow-up assessment of the Geneva COVID-COG cohort

Background

Despite numerous observations of neuropsychological deficits immediately following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, little is known about what happens to these deficits over time and whether they are affected by changes in fatigue and any psychiatric symptoms. We aimed to assess the prevalence of neuropsychological deficits at 6-9 months and again at 12-15 months after coronavirus disease 2019 (COVID-19) and to explore whether it was associated with changes in fatigue and psychiatric symptoms.

Methods

We administered a series of neuropsychological tests and psychiatric questionnaires to 95 patients (mean age = 57.12 years, standard deviation (SD) = 10.68; 35.79% women) 222 (time point 1 (T1)) and 441 (time point 2 (T2)) days on average after infection. Patients were categorised according to the severity of their respiratory COVID-19 symptoms in the acute phase: mild (no hospitalisation), moderate (conventional hospitalisation), and severe (hospitalisation in intensive care unit (ICU) plus mechanical ventilation). We ran Monte-Carlo simulation methods at each time point to generate a simulated population and then compared the cumulative percentages of cognitive disorders displayed by the three patient subgroups with the estimated normative data. We calculated generalised estimating equations for the whole sample to assess the longitudinal associations between cumulative neuropsychological deficits, fatigue, and psychiatric data (anxiety, depressive symptoms, posttraumatic stress disorder, and apathy).

Results

Most participants (>50%) exhibited a decrease in their neuropsychological impairments, while approximately 25% showed an escalation in these cognitive deficits. At T2, patients in the mild subgroup remained free of accumulated neuropsychological impairments. Patients with moderate severity of symptoms displayed a decrease in the magnitude of cumulative deficits in perceptual and attentional functions, a persistence of executive, memory and logical reasoning deficits, and the emergence of language deficits. In patients with severe symptoms, perceptual deficits emerged and executive deficits increased, while attentional and memory deficits remained unchanged. Changes in executive functions were significantly associated with changes in depressive symptoms, but the generalised estimating equations failed to reveal any other significant effect.

Conclusion

While most cumulative neuropsychological deficits observed at T1 persisted and even worsened over time in the subgroups of patients with moderate and severe symptoms, a significant proportion of patients, mainly in the mild subgroup, exhibited improved performances. However, we identified heterogeneous neuropsychological profiles both cross-sectionally and over time, suggesting that there may be distinct patient phenotypes. Predictors of these detrimental dynamics have yet to be identified.

Symptomology following COVID-19 among adults in Alberta, Canada: an observational survey study

OBJECTIVE

Fatigue, headache, problems sleeping and numerous other symptoms have been reported to be associated with long COVID. However, many of these symptoms coincide with symptoms reported by the general population, possibly exacerbated by restrictions/precautions experienced during the COVID-19 pandemic. This study examines the symptoms reported by individuals who tested positive for COVID-19 compared with those who tested negative.

DESIGN

Observational study.

SETTING

The study was conducted on adult residents in Alberta, Canada, from October 2021 to February 2023.

PARTICIPANTS

We evaluated self-reported symptoms in 7623 adults with positive COVID-19 tests and 1520 adults who tested negative, using surveys adapted from the internationally standardised International Severe Acute Respiratory and emerging Infection Consortium (ISARIC)-developed COVID-19 long-term follow-up tools. These individuals had an index COVID-19 test date between 1 March 2020 and 31 December 2022 and were over 28 days post-COVID-19 testing.

PRIMARY OUTCOME MEASURES

The primary outcomes were to identify the symptoms associated with COVID-19 positivity and risk factors for reporting symptoms.

RESULTS

Fatigue was the top reported symptom (42%) among COVID-19-positive respondents, while headache was the top reported symptom (32%) in respondents who tested negative. Compared with those who tested negative, COVID-19-positive individuals reported 1.5 times more symptoms and had higher odds of experiencing 31 out of the 40 listed symptoms during the postinfectious period. These symptoms included olfactory dysfunction, menstruation changes, cardiopulmonary and neurological symptoms. Female sex, middle age (41-55 years), Indigeneity, unemployment, hospital/intensive care unit (ICU) admission at the time of testing and pre-existing health conditions independently predicted a greater number and variety of symptoms.

CONCLUSIONS

Our results provide evidence that COVID-19 survivors continue to experience a significant number and variety of symptoms. These findings can help inform targeted strategies for the unequally affected population. It is important to offer appropriate management for symptom relief to those who have survived the acute COVID-19 illness.

Expressions of pandemic fatigue on digital platforms: a thematic analysis of sentiment and narratives for infodemic insights

BACKGROUND

The infodemic accompanying the COVID-19 pandemic has led to an overwhelming amount of information, including questions, concerns and misinformation. Pandemic fatigue has been identified as a concern from early in the pandemic. With new and ongoing health emergencies in 2022, it is important to understand how pandemic fatigue is being discussed and expressed by users on digital channels. This study aims to explore and report on key narrative themes associated with expressions of pandemic fatigue by users on digital platforms.

METHODS

This paper describes the collection of publicly available data over a 3-month period from multiple online sources using the Meltwater and CrowdTangle platforms to source data from Twitter, Facebook, Instagram, YouTube, TikTok, Pinterest, Product Reviews, Twitch, blogs & forums. A comprehensive search strategy was developed and tested. A total of 1,484,042 social media posts were identified during the time-period that included the defined search terms for pandemic fatigue. These data were initially sorted by highest levels of engagement and from this dataset, analysts reviewed the identified posts to isolate and remove irrelevant content and identify dominant narratives. A thematic analysis was carried out on these narratives to identify themes related to expression of pandemic fatigue. Two researchers reviewed the data and themes.

RESULTS

The thematic analysis of narratives identified six main themes relating to expression of pandemic fatigue, and one theme of counter narratives against pandemic fatigue. Data volume increased concurrent with the time of the mpox emergency announcement. Emergent themes showed the different ways users expressed pandemic fatigue and how it was interlaced with issues of trust, preventative measure acceptance and uptake, misinformation, and being overwhelmed with multiple or sustained emergencies.

CONCLUSIONS

This paper has identified the different ways users express pandemic fatigue on digital channels over a 3-month period. Better understanding the implications of the information environment on user's perceptions, questions, and concerns regarding pandemic and more broadly emergency fatigue is vital in identifying relevant interventions and, in the longer term, strengthening the global architecture for health emergency preparedness, prevention, readiness and resilience, as evidenced in this paper. There are clear pathways for further research, including incorporating additional languages and reviewing these themes over longer time periods.

The role of sex and gender in somatic complaints among patients with coronary heart disease: A longitudinal study on acute and long-term changes

BACKGROUND

Somatic complaints are persistently reported in patients with coronary heart disease (CHD). Sex and gender influence health and well-being in a variety of ways, but it is unknown how they affect somatic complaints over time after percutaneous coronary intervention (PCI). Therefore, we examined the association between sex and gender on somatic health complaints during the first month (acute) and the first two years (recovery) after PCI.

METHODS

514 patients (Mage = 64.2 ± 8.9, 84.2% male) completed the somatic scale of the Health Complaints Scale (including the subscales: cardiopulmonary complaints, fatigue, sleep problems) at baseline, one, 12-, and 24-months post-PCI. In a follow-up study, they filled in additional questionnaires to gauge gender norms, traits, and identity. Linear mixed modeling analyses were used to assess the influence of sex, gender, their interaction, and covariates on somatic complaints for the acute and recovery phases separately.

RESULTS

A general decline in somatic complaints over time was observed during the acute phase, followed by a stabilization in the recovery phase. Females and individuals with more feminine traits, norms, and identities reported increased somatic complaints. Males with more pronounced feminine norms and females with more masculine norms likewise reported more somatic, cardiopulmonary, and fatigue complaints. Furthermore, age, cardiac history, and comorbid diseases partly explained the associations with somatic complaints.

CONCLUSION

While somatic complaints improve post-PCI, there are still conspicuous sex and gender differences that need to be considered. Future research should further elaborate upon these discrepancies and incorporate sex and gender in prevention and develop tailored interventions to diminish somatic complaints.

Data-driven subgrouping of youths with depression reveals that resilience is associated with higher physical functioning despite high symptom burden in the Texas Youth Depression and Suicide Research Network (TX-YDSRN)

BACKGROUND

The Patient-Reported Outcomes Measurement Information System (PROMIS) measure, which assesses past week status of seven domains (physical function mobility, anxiety, depressive symptoms, fatigue, peer relationships, pain interference, and pain intensity), represents a new paradigm using patient-reported outcomes. We used a data-driven approach with PROMIS to identify subgroups of youths receiving depression treatment.

METHODS

Youths (n = 721) enrolled in the Texas Youth Depression and Suicide Research Network who completed the PROMIS were analyzed. Latent class analyses (LCAs) identified subgroups and compared their baseline clinical/sociodemographic features.

RESULTS

Compared to population norms, our sample had worse than average physical function, anxiety, depression, fatigue, and pain interference. Using LCA, four subgroups were identified: 1) lower symptom severity and higher physical functioning (14.6 %); 2) higher symptom burden, higher pain interference/intensity, and lower physical functioning (52.7 %); 3) higher symptom burden, higher pain interference/intensity, but with higher physical functioning (9.2 %); and 4) higher symptom burden, but lower physical functioning and pain interference/intensity (23.6 %). Group 3 demonstrated higher resilience than Group 2. In contrast, Group 2 had higher anxiety than Group 4.

LIMITATIONS

Individuals may have different symptom profiles due to the observational nature of the study. Replication of these subgroups may be difficult, as future samples may differ in these characteristics. Further work may demonstrate the stability of these groups.

CONCLUSIONS

A data-driven analysis identified a small but significant subgroup with high physical functioning despite high symptom burden and pain, and this group reported higher resilience. Resilience-enhancing interventions may help improve functional outcomes in depressed youth.

Cancer-related fatigue trajectories up to 5 years after curative treatment for oesophageal cancer

BACKGROUND

Whether cancer-related fatigue develops differently after curative-intended oesophageal cancer treatment and the related modifiable factors are unclear.

METHODS

This population-based and longitudinal cohort included 409 oesophageal cancer patients who underwent curative oesophagectomy in 2013-2020 in Sweden. The main outcome was cancer-related fatigue trajectories with measurements at 1, 1.5, 2, 2.5, 3, 4 and 5 years postoperatively by validated EORTC QLQ-FA12 questionnaire, and analysed using growth mixture models. Weighted logistic regressions provided odds ratios (OR) with 95% confidence intervals (95% CI) for underlying sociodemographic, clinical, and patient-reported outcome factors in relation to the identified trajectories.

RESULTS

Two distinct overall cancer-related fatigue trajectories were identified: low level of persistent fatigue and high level of increasing fatigue, with 64% and 36% of patients, respectively. The odds of having high level of fatigue trajectory were increased by Charlson comorbidity index (≥ 2 versus 0: OR = 2.52, 95% CI 1.07-5.94), pathological tumour Stage (III-IV versus 0-I: OR = 2.52, 95% CI 1.33-4.77), anxiety (OR = 7.58, 95% CI 2.20-26.17), depression (OR = 15.90, 95% CI 4.44-56.93) and pain (continuous score: OR = 1.02, 95% CI 1.01-1.04).

CONCLUSIONS

Long-term trajectories with high level of increasing cancer-related fatigue and the associated modifiable factors were identified after oesophageal cancer treatment. The results may facilitate early identification and targeted intervention for such high-risk patients.

Association of Sleep Quality With Fatigue in Post-COVID-19 Patients in an Indian Population

OBJECTIVE

The aims of the study are to assess the quality of sleep in recently recovered COVID-19 and long-COVID cases and to determine its associations with fatigue and pain.

METHODS

Post-COVID-19 cases ( n = 201) and controls ( n = 206) were assessed using the Pittsburgh Sleep Quality Index questionnaire for sleep quality, Fatigue Severity Scale for fatigue, and Numeric Pain Rating Scale for pain in this observational study.

RESULTS

Global Pittsburgh Sleep Quality Index score was higher ( P ≤ 0.001) among cases (5.7 ± 5.1; 95% confidence interval, 5.0-6.4) than controls (2.1 ± 2.0; 95% confidence interval, 1.8-2.4). Normal sleep latency was observed in 56 (27.9%) patients and 164 (79.6%) controls ( P < 0.001). Fatigue Severity Scale score was higher ( P ≤ 0.001) among cases (16.8 ± 10.2; 95% confidence interval, 15.4, 18.2) against controls (10.9 ± 4.1; 95% confidence interval, 10.3-11.4). The Fatigue Severity Scale scores in mild, moderate, and severe COVID-19 were 14.3 ± 8.1, 22.1 ± 10.8, and 22.8 ± 13, respectively ( P < 0.001) and higher in the older (20.7 ± 12.1) and middle-aged (19.6 ± 10.3) than in younger (13.9 ± 8.3) ( P ≤ 0.001) cases. The global Pittsburgh Sleep Quality Index score was positively correlated with the Fatigue Severity Scale ( r = 0.755, P < 0.001) and Numeric Pain Rating Scale scores ( r = 0.657, P < 0.001). Numeric Pain Rating Scale score correlated with Fatigue Severity Scale score ( r = 0.710, P < 0.001). Fatigue Severity Scale and global Pittsburgh Sleep Quality Index scores were higher in the long-COVID group ( P < 0.001).

CONCLUSIONS

Significantly poor sleep quality was observed in post-COVID-19 individuals including long COVID being positively associated with fatigue and pain.

Prevalence and risk factors of fatigue and its association with quality of life among patients with chronic pancreatitis: A cross-sectional study

BACKGROUND

Fatigue is a debilitating symptom found in various chronic diseases and is associated with more severe symptoms and worse quality of life (QoL). However, this symptom has not been adequately addressed in chronic pancreatitis (CP), and there have been no studies on fatigue in patients with CP.

METHODS

This cross-sectional study was conducted at the Changhai Hospital in Shanghai, China. Data on the patients' sociodemographic, disease, and therapeutic characteristics were collected. Fatigue was assessed using the Multidimensional Fatigue Inventory-20. QoL was assessed utilizing the European Organization for the Research and Treatment of Cancer of QoL questionnaire (EORTC-QLQ-C30). Sleep quality, anxiety and depression, and pain was assessed using Pittsburgh Sleep Quality Index, the Hospital Anxiety and Depression Scale, and the Brief Pain Inventory, respectively.

RESULTS

The prevalence of fatigue among Chinese patients with CP was 35.51 % (87/245). Multivariate analysis showed that steatorrhea (OR = 2.638, 95 % CI: 1.117-6.234), history of smoking (OR = 4.627, 95 % CI: 1.202-17.802), history of endoscopic treatment (OR = 0.419, 95 % CI: 0.185-0.950), depression (OR = 5.924, 95 % CI: 2.462-14.255), and sleep disorder (OR = 6.184, 95 % CI: 2.543-15.034) were influencing factors for the presence of fatigue. The scores for global health and all functional dimensions in the EORTC-QLQ-C30 significantly decreased, whereas the scores for all symptom dimensions significantly increased in patients with fatigue.

CONCLUSIONS

This study indicated that Fatigue is a common symptom and has a negative impact on the QoL of patients with CP. Steatorrhea, smoking history, endoscopic treatment, depression, and sleep disorders were associated with fatigue.

Hematocrit Is Associated with Cancer-Related Fatigue in Colorectal Cancer Survivors: A Longitudinal Analysis

BACKGROUND

Cancer-related fatigue (CRF) is a frequent symptom in colorectal cancer survivors. It is unknown to what extent anemia may contribute to CRF in colorectal cancer survivors. This study aimed to investigate the association between hematocrit, as marker for anemia, and CRF among colorectal cancer survivors from diagnosis until two years thereafter.

METHODS

The study population included 1,506 newly diagnosed colorectal cancer survivors at any stage of disease from a prospective cohort study. Hematocrit and CRF (EORTC QLQ-C30) were assessed at diagnosis, six months, and two years after diagnosis. Multivariable logistic regression or multivariable linear mixed models were used to assess the associations of hematocrit with CRF prevalence, or CRF severity over time, respectively.

RESULTS

A low hematocrit (levels <40% men/<36% women) was present in a third of the survivors at diagnosis and six months thereafter, and among 16% two years after diagnosis. The prevalence of CRF was 15% at diagnosis, peaked at 27% at six months, and was 14% two years after diagnosis. Hematocrit was associated with the prevalence of CRF at diagnosis [OR, 0.92; confidence interval (CI), 0.88-0.95], 6 months (OR, 0.89; 95% CI, 0.86-0.92), and 2 years (OR, 0.91; CI, 0.87-0.96) after diagnosis. Lower hematocrit was associated with higher severity of CRF over time (beta-coefficient = 1.3; CI, 1.5-1.1).

CONCLUSIONS

Lower hematocrit levels were longitudinally associated with a higher prevalence and severity of CRF in colorectal cancer.

IMPACT

Our findings emphasize the importance of long-term anemia monitoring and a potential role of anemia in CRF among colorectal cancer survivors.

The DS-14 questionnaire: psychometric characteristics and utility in patients with obstructive sleep apnea

Little is known about type D personality in patients with obstructive sleep apnea (OSA). The DS-14 questionnaire is the standard tool to assess this personality type, but it has not been properly validated in patients with OSA, nor has it been correlated with clinical features in these patients.

PURPOSE

To determine the internal consistency and test-retest reliability of the DS-14 questionnaire, as well as the prevalence of type D personality in the overall OSA sample and subgroups. We assessed the influence of type D on perceived symptoms and its congruence with self-reported measures of personality, depression, fatigue, anxiety, quality of life, and quality of sleep.

METHODS

Patients with OSA completed the DS-14 questionnaire, Big Five Inventory-2 questionnaire, Hospital Anxiety and Depression Scale, SF-36 Health Survey Questionnaire, Epworth Sleepiness Scale and Stanford Sleepiness Scale, Pittsburgh Sleep Quality Index and Insomnia Severity Index, Fatigue Assessment Scale, and Checklist Individual Strength. After 1 month, the DS-14 questionnaire was repeated.

RESULTS

The overall prevalence of type D personality was 32%. Internal consistency (negative affectivity: α = 0.880, social inhibition: α = 0.851) and diagnostic test-retest reliability (kappa value = 0.664) of the DS-14 questionnaire were high. Significantly more symptoms of anxiety, depression, poor sleep quality, fatigue, and a worse health perception were found in OSA with type D. Neither OSA severity nor REM predominance altered these observations.

CONCLUSION

The DS-14 questionnaire showed excellent psychometric properties in patients with OSA. The prevalence of type D personality in patients with OSA was higher than in the general population. The presence of type D personality was associated with higher symptom burden.

Sleep quality, quality of life, fatigue, and mental health in COVID-19 post-pandemic Türkiye: a cross-sectional study

Aim

This study explores the predictors and associated risk factors of sleep quality, quality of life, fatigue, and mental health among the Turkish population during the COVID-19 post-pandemic period.

Materials and methods

A cross-sectional survey using multi-stage, stratified random sampling was employed. In total, 3,200 persons were approached. Of these, 2,624 (82%) completed the questionnaire package consisting of socio-demographic information, Pittsburgh Sleep Quality Index (PSQI), the WHO Quality of Life Brief Version (WHOQOL-BREF), Fatigue Assessment Scale (FAS), Patients Health Questionnaire (PHQ-15), GAD-7 anxiety scale, and the 21-item Depression, Anxiety, Stress Scale (DASS-21).

Results

Significant differences between genders were found regarding socio-demographic characteristics (p < 0.01). Using PHQ-15 for depressive disorders, significant differences were found between normal and high severity scores (≥ 10), regarding age group (p < 0.001), gender (p = 0.049), educational level (p < 0.001), occupational status (p = 0.019), cigarette smoking (p = 0.002), waterpipe-narghile smoking (p = 0.039), and co-morbidity (p = 0.003). The WHOQOL-BREF indicated strong correlations between public health, physical health, psychological status, social relationships, environmental conditions, and sleep disorders (p < 0.01). Furthermore, comparisons of the prevalence of mental health symptoms and sleeping with PHQ-15 scores ≥ 10 (p = 0.039), fatigue (p = 0.012), depression (p = 0.009), anxiety (p = 0.032), stress (p = 0.045), and GAD-7 (p < 0.001), were significantly higher among the mental health condition according to sleeping disorder status. Multiple regression analysis revealed that DASS21 stress (p < 0.001), DASS21 depression (p < 0.001), DASS21 anxiety (p = 0.002), physical health (WHOQOL-BREF) (p = 0.007), patient health depression-PHQ-15 (p = 0.011), psychological health (WHOQOL-BREF) (p = 0.012), fatigue (p = 0.017), and environmental factors (WHOQOL-BREF) (p = 0.041) were the main predictor risk factors associated with sleep when adjusted for gender and age.

Conclusion

The current study has shown that sleep quality was associated with the mental health symptoms of depression, anxiety, stress, and fatigue. In addition, insufficient sleep duration and unsatisfactory sleep quality seemed to affect physical and mental health functioning.

Evaluation of short-term adverse events of COVID-19 vaccines: An observational study

Coronavirus disease 2019 (COVID-19) vaccines are the most effective tools in managing the pandemic. However, the concern about these vaccines is the occurrence of unwanted adverse events (AEs). This study aimed to evaluate the short-term AEs of COVID-19 vaccines (Sputnik V, Astrazenka, and Sinopharm). A cross-sectional study using an online questionnaire was conducted among 321 vaccinated individuals. Demographic information, history of drug use, prior infection with COVID-19, the type of vaccine, vaccination stage, local injection site complication, systemic complication, and allergic reactions were collected and evaluated. Local complications, including pain and swelling at the injection site, and systemic complications, including fever, fatigue, lethargy, lymphadenopathy, and diarrhea, were reported after the injection of the AstraZeneca vaccine was more than the other 2 vaccines; The prevalence of fatigue and lethargy was higher than other systemic complications. The least reported complication was due to lymphadenopathy. The Sinopharm vaccine showed a lower prevalence of AEs than the other 2. The rare AEs, such as facial paralysis, nasal bleeding, and urticarial, were further reported after injection of the AstraZeneca vaccine. In general, the severity of systemic complications after the second dose of the vaccine was also higher than the first dose. All 3 vaccines were safe and tolerable. The most commonly reported AEs were injection site pain (local) and fatigue and lethargy (systemic). These expected AEs occurred shortly after vaccination and indicated an early immune response after vaccination.

Acute cancer-related symptoms and concerns among patients receiving chemotherapy: current state of the science

PURPOSE

This study provides an updated evaluation of the prevalence and severity of acute cancer-related symptoms and quality of life (QOL) concerns among patients treated with emetogenic chemotherapy.

METHODS

Patients were recruited to a larger, multi-site observational study prior to starting chemotherapy. Participants completed sociodemographic questionnaires and clinical data were abstracted via medical record review. Symptoms and QOL were assessed 5 days after starting moderately or highly emetogenic chemotherapy. Functional Assessment of Cancer Therapy - General assessed QOL concerns. Patient Reported Outcomes version of the Common Terminology Criteria for Adverse Events evaluated symptoms. Symptoms were considered severe when participants responded "severe" or "very severe."

RESULTS

Participants (N = 1174) were on average 58 ± 13 years, mostly female (73%), non-Hispanic (89%), and White (87%). Most participants were diagnosed with breast (38.1%), gynecological (20%), and gastrointestinal (17.1%) cancer. The most common QOL concerns of any severity were fatigue (94%), anhedonia (89%), dissatisfaction with QOL (86%), and sleep disturbance (86%). The most common severe QOL concerns were anhedonia (44%), fatigue (40%), and inability to work (38%). Decreased appetite (74%), pain (71%), and constipation (70%) were the most common symptoms of any severity, as well as most common severe symptoms (13%, 18%, and 18%, respectively).

CONCLUSION

Herein, updates are provided in regard to QOL concerns and symptoms reported by patients in the days after chemotherapy and demonstrates that concerns and symptoms have shifted in the last decade.

Fatigue in taxi drivers and its relationship with traffic accident history and experiences: a cross-sectional study in the north of Iran

BACKGROUND

The monotonous nature of work, long driving duration, and working overload hours cause frequent fatigue in taxi drivers. A high prevalence of fatigue is associated with traffic accidents. However, the risk factors associated with taxi driver fatigue are unclear. Therefore, the present study aims to determine the rate of fatigue in taxi drivers and its relationship to their traffic accident experience.

METHODS

In this descriptive-analytical study, 400 taxi drivers in the city of Rasht were registered in Taxi association selected through random sampling and entered into the study based on inclusion criteria. Data was collected through a researcher-made questionnaire reliable and valid by two medical students. The statistical analysis used ordinal data and a Poisson regression model with SPSS software version 21, with a significance level set at 5%.

RESULTS

The driver fatigue self-reported was directly and significantly related to alcohol consumption (OR = 3.43, 95% CI 1.01-11.62) and had a significant and inverse relationship with smoking (OR = 0.50, 95% CI 0.32-0.76), being married (OR = 0.08, 95% CI 0.01-0.40) and driving experience there was (OR = 0.96, 95% CI 0.94-0.98). Drivers' sense of quality of life (QOL) was directly and significantly related to smoking (IRR = 1.43, 95% CI 1.28-1.59), education level under diploma (IRR = 2.41, 95% CI 1.43-4.06) diploma (IRR = 2.06, 95% CI 1.21-3.48) and bachelor (IRR = 2.42, 95% CI 1.36-4.29) and there was a significant and inverse relationship with age (IRR = 0.98, 95%CI 0.98-0.99). There was a significant relationship between the number of traffic accidents in the past year with the level of bachelor's degree (IRR = 3.10, 95% CI 1.43-6.76) and driving experience (IRR = 1.03, 95% CI 1.02-1.04 and inverse relationship between the number of traffic accidents in the past year and the QOL sense (IRR = 0.96, 95% CI 0.93-0.99) and the working hours (IRR = 0.96, 95% CI 0.94-0.99).

CONCLUSION

Legislators and policymakers should pay more attention to fatigue in single and inexperienced taxi drivers. Regarding the QOL, pay attention to drivers with high education and older. To reduce the number of crashes, pay more attention to drivers with a bachelor's degree and less driving experience and improve the feeling of QOL.

Trajectories of mental health outcomes following COVID-19 infection: a prospective longitudinal study

BACKGROUND

The COVID-19 pandemic has triggered a global mental health crisis. Yet, we know little about the lasting effects of COVID-19 infection on mental health. This prospective longitudinal study aimed to investigate the trajectories of mental health changes in individuals infected with COVID-19 and to identify potential predictors that may influence these changes.

METHODS

A web-survey that targeted individuals that had been infected with COVID-19 was used at three time-points: T0 (baseline), T1 (six months), and T2 (twelve months). The survey included demographics, questions related to COVID-19 status, previous psychiatric diagnosis, post-COVID impairments, fatigue, and standardized measures of depression, anxiety, insomnia. Linear mixed models were used to examine changes in depression, anxiety, and insomnia over time and identify factors that impacted trajectories of mental health outcomes.

RESULTS

A total of 236 individuals completed assessments and was included in the longitudinal sample. The participants' age ranged between 19 and 81 years old (M = 48.71, SD = 10.74). The results revealed notable changes in mental health outcomes over time. The trajectory of depression showed significant improvement over time while the trends in anxiety and insomnia did not exhibit significant changes over time. Younger participants and individuals who experienced severe COVID-19 infection in the acute phase were identified as high-risk groups with worst mental ill-health. The main predictors of the changes in the mental health outcomes were fatigue and post-COVID impairments.

CONCLUSIONS

The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population.

Identification of Fatigue Subtypes and Their Correlates in Prevalent Heart Failure: A Secondary Analysis of the Atherosclerosis Risk in Communities Study

BACKGROUND

Among patients with heart failure (HF), fatigue is common and linked to quality of life and functional status. Fatigue is hypothesized to manifest as multiple types, with general and exertional components. Unique subtypes of fatigue in HF may require differential assessment and treatment to improve outcomes. We conducted this study to identify fatigue subtypes in persons with prevalent HF in the ARIC study (Atherosclerosis Risk in Communities) and describe the distribution of characteristics across subtypes.

METHODS

We performed a cross-sectional analysis of 1065 participants with prevalent HF at ARIC visit 5 (2011-2013). We measured exertional fatigue using the Modified Medical Research Council Breathlessness scale and general fatigue using the Patient Reported Outcomes Measurement Information System fatigue scale. We used latent class analysis to identify subtypes of fatigue. Number of classes was determined using model fit statistics, and classes were interpreted and assigned fatigue severity rating based on the conditional probability of endorsing survey items given class. We compared characteristics across classes using multinomial regression.

RESULTS

Overall, participants were 54% female and 38% Black with a mean age of 77. We identified 4 latent classes (fatigue subtypes): (1) high general/high exertional fatigue (18%), (2) high general/low exertional fatigue (27%), (3) moderate general/moderate exertional fatigue (20%), and (4) low/no general and exertional fatigue (35%). Female sex, Black race, lower education level, higher body mass index, increased depressive symptoms, and higher prevalence of diabetes were associated with higher levels of general and exertional fatigue.

CONCLUSIONS

We identified unique subtypes of fatigue in patients with HF who have not been previously described. Within subtype, general and exertional fatigue were mostly concordant in severity, and exertional fatigue only occurred in conjunction with general fatigue, not alone. Further understanding these fatigue types and their relationships to outcomes may enhance our understanding of the symptom experience and inform prognostication and secondary prevention efforts for persons with HF.

Persistent pruritus associated with worse quality of life in patients with chronic hepatitis

INTRODUCTION

Prevalence and severity of pruritus among US patients with chronic hepatitis B and C (HBV, HCV) are not well-documented. Chronic Hepatitis Cohort Study (CHeCS) patients were surveyed to examine pruritus prevalence and impact on quality of life (QoL).

METHODS

Patients who reported experiencing pruritus ≥3 on a Numeric Rating Scale (NRS) within the past 30 days were invited to participate in a 6-month study using the SF-36 questionnaire. General regression (univariate followed by multivariable modelling) was used to analyse pruritus intensity and eight QoL dimensions.

RESULTS

Among 1654 patients (HBV = 358, HCV = 1296, HBV/HCV = 6), pruritus prevalence was significantly higher among patients with HCV than those with HBV (44% vs. 35%; p < .05). One hundred and twenty-three patients (21 HBV and 102 HCV) participated in the QoL study (72% ≥60 years; 50% men; 25% Black; 37% with cirrhosis; 66% had BMI > 25). Mean NRS was 4.9-5.3. QoL responses for social functioning and emotional well-being were higher (70-72 points) than responses for energy/fatigue (50-51). Antiviral treatment rates were higher in HCV (92%, SVR 99%) than HBV (71% ever, 43% ongoing). Multivariable analyses showed no significant effect of hepatitis type or antiviral treatments on itch. Antihistamines were associated with severe itch. Higher NRS was associated with significantly reduced QoL. Each unit increase in NRS was associated with a 2-3 unit decline in emotional well-being, general health, physical function, energy/fatigue, social functioning and emotional health.

CONCLUSION

Pruritus negatively affects many viral hepatitis patients, regardless of antiviral treatment status. Improved treatment options are needed to address its impact on QoL.

Perceived Executive Functioning Deficits After Diagnosis in Women with Non-Metastatic Breast Cancer Prior to Adjuvant Therapies

BACKGROUND

Perceived deficits in executive functioning are among the many difficulties that women diagnosed with breast cancer experience. This study assessed the presence of perceived deficits in executive functioning among women with breast cancer prior to systemic treatment and radiation and associations between perceived deficits in executive function and comorbid fatigue, sleep, and mood disturbance.

METHOD

Participants were recruited following their breast cancer diagnosis and assessed using the Behavior Rating Inventory of Executive Function for Adults (BRIEF-A), subjective and objective measures of sleep duration and efficiency, and self-report measures of insomnia severity, sleep quality, fatigue, and mood disturbance. Hierarchical regression was used to examine associations between symptoms, adjusting for age and education.

RESULTS

The final sample included 92 women with a mean age of 60.7 years and 13.5 years of education. Thirteen percent of participants reported global executive dysfunction. After partitioning out variability from other independent variables, fatigue (p = < .001), perceived sleep quality (p = .030), and symptoms of insomnia (p = .008) accounted for 13.3%, 5.7%, and 8.5% of unique variance in perceived executive functioning, respectively. Emotional fatigue was most strongly associated with perceived deficits in executive functioning. Neither subjective or objective sleep duration or efficiency was associated with perceived deficits in executive functioning.

CONCLUSION

Fatigue, particularly emotional fatigue, insomnia, and poor sleep quality had the strongest associations with perceived deficits in executive functioning. Sleep interventions and fatigue management strategies may prove useful for women who seek to improve their perceived executive functioning.

Development and validation of a nomogram for predicting fatigue in patients with primary Sjögren's syndrome

OBJECTIVE

To develop and validate a nomogram to predict fatigue in patients with primary Sjögren's syndrome (pSS).

METHODS

In this cross-sectional study, 251 patients with SS from the Affiliated Hospital of Nantong University were recruited. The patients were randomly divided into two groups: training group (n = 167) and validation group (n = 84). In the training group, univariate analysis and multivariate Cox regression analysis were performed on sociodemographic factors, disease activity, anxiety/depression, clinical indicators, and so on. According to the risk factors of fatigue in SS patients, a nomograph was established. In the training group and validation group, the performance of the nomogram was verified by three forms: receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).

RESULT

The incidence of fatigue was 40.6%. EULAR Sjögren's Syndrome Disease Activity Index, EULAR SS patient reported index, and depression were independent risk factors of fatigue in SS patients. The C-index of nomogram was 0.8532 in training set and 0.7381 in verification set, respectively. As to the Hosmer-Lemeshow test, the P value of modeling patients is 0.996 in verification (P > 0.05). DCA further validated the clinical utility of this nomogram.

CONCLUSION

The nomogram constructed in this study can effectively predict the occurrence of fatigue in SS patients, which is helpful for clinical decision-making and subsequent intervention implementation. Key Points • Fatigue was widespread in patients with primary Sjögren's syndrome, and the incidence of fatigue was 40.6%. • Disease activity and depression were independent risk factors of fatigue in patients with Sjögren's syndrome. • This was the first comprehensive nomogram to predict fatigue for Sjögren's syndrome patients.

Exploring humanistic burden of fatigue in adults with multiple sclerosis: an analysis of US National Health and Wellness Survey data

BACKGROUND

This retrospective study examined the humanistic burden of fatigue in patients with relapsing-remitting multiple sclerosis (RRMS), compared with adults without MS, using data from the 2017 and 2019 US National Health and Wellness Survey.

METHODS

The 5-item Modified Fatigue Impact Scale (MFIS-5) was used to assess level of fatigue (MFIS-5 score <15: low fatigue [LF]; MFIS-5 score ≥15: high fatigue [HF]) in patients with RRMS. Health-related quality of life (HRQoL) measures (Short Form 36-Item Health Survey version 2, Euroqol-5 Dimensions-5 Levels [EQ-5D-5L], Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7 [GAD-7], Perceived Deficits Questionnaire-5) and treatment-related characteristics were assessed.

RESULTS

In total, 498 respondents were identified as RRMS (n=375 RRMS+LF, n=123 RRMS+HF) and compared with 1,494 matched non-MS controls. RRMS+LF and RRMS+HF had significantly lower Short Form 6 Dimensions health utility, Mental and Physical Component Summary, and EQ-5D-5L scores and higher PHQ-9 and GAD-7 scores, compared with matched non-MS controls (all p<0.001); scores were worse for RRMS+HF than RRMS+LF across all measures (all p<0.001). A higher proportion of RRMS+HF reported moderate-to-severe depression and moderate-to-severe anxiety, compared with RRMS+LF and matched non-MS controls (both p<0.001). Fatigue was a significant predictor of poor HRQoL across all measures (all p<0.001).

CONCLUSIONS

Patients with RRMS experienced lower HRQoL with higher levels of fatigue, highlighting an unmet need. Results may help to inform physician-patient communication and shared decision-making to address fatigue and its associated impact on patients' HRQoL.

Prediction of Long-Term Physical, Mental, and Cognitive Problems Following Critical Illness: Development and External Validation of the PROSPECT Prediction Model

OBJECTIVES

ICU survivors often suffer from long-lasting physical, mental, and cognitive health problems after hospital discharge. As several interventions that treat or prevent these problems already start during ICU stay, patients at high risk should be identified early. This study aimed to develop a model for early prediction of post-ICU health problems within 48 hours after ICU admission.

DESIGN

Prospective cohort study in seven Dutch ICUs.

SETTING/PATIENTS

ICU patients older than 16 years and admitted for greater than or equal to 12 hours between July 2016 and March 2020.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Outcomes were physical problems (fatigue or ≥ 3 new physical symptoms), mental problems (anxiety, depression, or post-traumatic stress disorder), and cognitive impairment. Patient record data and questionnaire data were collected at ICU admission, and after 3 and 12 months, of 2,476 patients. Several models predicting physical, mental, or cognitive problems and a composite score at 3 and 12 months were developed using variables collected within 48 hours after ICU admission. Based on performance and clinical feasibility, a model, PROSPECT, predicting post-ICU health problems at 3 months was chosen, including the predictors of chronic obstructive pulmonary disease, admission type, expected length of ICU stay greater than or equal to 2 days, and preadmission anxiety and fatigue. Internal validation using bootstrapping on data of the largest hospital ( n = 1,244) yielded a C -statistic of 0.73 (95% CI, 0.70-0.76). External validation was performed on data ( n = 864) from the other six hospitals with a C -statistic of 0.77 (95% CI, 0.73-0.80).

CONCLUSIONS

The developed and externally validated PROSPECT model can be used within 48 hours after ICU admission for identifying patients with an increased risk of post-ICU problems 3 months after ICU admission. Timely preventive interventions starting during ICU admission and follow-up care can prevent or mitigate post-ICU problems in these high-risk patients.

Persistence of post-COVID symptoms in the general population two years after SARS-CoV-2 infection: A systematic review and meta-analysis

OBJECTIVE

This meta-analysis investigated the prevalence of post-COVID symptoms two-years after SARS-CoV-2 infection.

METHODS

Electronic literature searches on PubMed, MEDLINE, CINAHL, EMBASE, Web of Science databases, and on medRxiv/bioRxiv preprint servers were conducted up to October 1, 2023. Studies reporting data on post-COVID symptoms at two-years after infection were included. Methodological quality was assessed using the Newcastle-Ottawa Scale. Random-effects models were used for meta-analytical pooled prevalence of each symptom.

RESULTS

From 742 studies identified, twelve met inclusion criteria. The sample included 7912 COVID-19 survivors (50.7% female; age: 59.5, SD: 16.3). Post-COVID symptoms were assessed at a follow-up of 722.9 (SD: 51.5) days after. The overall methodological quality of studies was moderate (mean: 6/10, SD: 1.2 points). The most prevalent post-COVID symptoms two-years after SARS-CoV-2 infection were fatigue (28.0%, 95%CI 12.0-47.0), cognitive impairments (27.6%, 95%CI 12.6-45.8), and pain (8.4%, 95%CI 4.9-12.8). Psychological disturbances such as anxiety (13.4%, 95%CI 6.3-22.5) and depressive (18.0%, 95%CI 4.8-36.7) levels as well as sleep problems (20.9%, 95%CI 5.25-43.25) were also prevalent. Pooled data showed high heterogeneity (I2 ≥ 75%).

CONCLUSION

This meta-analysis shows the presence of post-COVID symptoms in 30% of patients two-years after COVID-19. Fatigue, cognitive disorders, and pain were the most prevalent post-COVID symptoms. Psychological disturbances as well as sleep problems were still present two-years after COVID-19.

The lingering symptoms of post-COVID-19 condition (long-COVID): a prospective cohort study

BACKGROUND

Longer-term symptoms (long COVID) may be present in seemingly recovered patients for several months and can be debilitating.

AIM

To investigate the prevalence and type of symptoms in those with a prior COVID-19 diagnosis.

METHODS

This prospective, longitudinal observational study commenced in July 2020 investigating the longer-term health impacts of COVID-19. Participants were recruited via public health units and media publicity. Surveys were completed upon enrolment, and at 1, 3, 6 and 12 months. Outcome measures included incidence of activity limitations and symptoms against health and vaccination status, age and gender.

RESULTS

Overall, 339 participants were recruited. At 3 months after COVID-19, 66.8% reported symptoms, and 44.8% were still experiencing symptoms at 12 months. Fatigue was most common at every point (between 53.1% and 33.1%). Pain symptoms increased in relative prevalence over time, whereas respiratory/pulmonary-type symptoms decreased substantially after 3 months. Females and younger people were more likely to experience symptoms in the early stages of long COVID (P < 0.01) and those with more comorbidities in the latter stages (P < 0.001). Vaccination showed a statistically significant protective effect against symptoms (P < 0.01-0.001).

CONCLUSION

Long-term COVID-19 symptoms exist among recovered patients up to 12 months after contracting the virus. Fatigue is a primary contributor, while chronic pain became more problematic after 6 months. Vaccination was a factor in preventing long-term symptoms and aiding faster recovery from symptoms. Further work exploring additional contributors to symptom prevalence would assist in developing appropriate follow-up care.

Depression and active disease are the major risk factors for fatigue and sleep disturbance in inflammatory bowel disease with consequent poor quality of life: Analysis of the interplay between psychosocial factors from the developing world

BACKGROUND AND OBJECTIVES

The prevalence and risk factors of fatigue and sleep disturbances in inflammatory bowel disease (IBD) patients and their impact on the quality of life (QOL) are largely underreported in the developing world, where IBD is on the rise.

METHODS

Consecutive patients attending the IBD clinic were interviewed between November 2021 and March 2022 using an assisted questionnaire (English, Hindi and Telugu versions)(including demographics, disease activity, QOL, IBD fatigue score [IBD-F], Hospital anxiety and depression score: [HADS], Pittsburg Sleep Quality Index: [PSQI]). Logistic regression was used to identify risk factors of fatigue and sleep disturbance. A correlational analysis between mental health factors and QOL was performed.

RESULTS

AS many as 202 IBD patients (age 18-78 [median 31] years, 65.8% male) completed the questionnaires. Fatigue and sleep disturbances were highly prevalent (55.9% and 53.4%, respectively). On multi-variate analysis, depression (p = 0.008, odds ratio [OR] -1.38, 95% confidence interval [CI] -1.09-1.75), active disease (p = 0.001,OR-8.81,95% CI- 2.49-31.23) and poor sleep (p = 0.009, OR-1.17, 95% CI:1.04-1.31) were predictive of fatigue, whereas depression (p < 0.001,OR-1.32,95% CI-1.19-1.46) and active disease (p < 0.001,OR-6.77, 95% CI-2.67-17.17) were predictive of sleep disturbance. On sub-group analysis, poor sleep quality and lack of renumeration predicted fatigue, whereas old age and female gender predicted poor sleep quality in Crohn's disease (CD). QOL (Short IBD questionnaire: [SIBDQ]) scores had a strong and moderate negative correlation with IBD-F (r = -0.735, p < 0.0001) and PSQI (r = -0.682, p < 0.001) scores, respectively. The results should be interpreted in the context of lack of validated translated questionnaires in all native languages in a multilingual country. Translational assistance was provided to overcome the limitation.

CONCLUSION

Fatigue and sleep disturbances are highly prevalent in Indian IBD patients. Apart from modulation of disease activity, screening those with mental health illness may help improve fatigue/sleep quality and overall QOL.