Symptom Class Research Articles

A Latent Class Analysis of Nutrition Impact Symptoms in Cancer Survivors

Those with a cancer diagnosis report experiencing a wide range of nutrition impact symptoms, the prevalence of which varies by study, group, and cancer type. We aimed to identify groups of cancer survivors with specific patterns of nutrition impact symptoms. Two hundred and twenty-nine individuals attending oncology day ward and outpatient clinics completed a series of questionnaires and physical measurements. A latent class analysis was performed to identify subgroups based on 13 nutrition impact symptoms taken from the Patient Generated Subjective Global Assessment short form. The identified classes were subsequently compared using analysis of variance and chi-square tests, by sociodemographic, clinical and nutritional variables, and by the Global Health Status (GHS) and five functioning scales determined using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Three latent subtypes were identified: (1) Fatigue (n = 58, 28%); (2) Low Symptom Burden (n = 146, 64%), and (3) High Symptom Burden (n = 25, 11%). Those in the High Symptom Burden group were more likely to be female, were currently receiving some form of treatment, were diagnosed ≥two years, and had consumed less food than usual in the last month compared to those in the Low Symptom Burden group. Those in the Fatigue group were less likely to have reported their food intake to be unchanged and more likely to be diagnosed ≥two years than those in the Low Symptom Burden group. The EORTC-QLQ-C30 functioning and GHS scores were all significantly different between the three nutrition impact symptoms classes (p < 0.001). This is the first study to examine heterogeneity of nutrition impact symptoms in Irish cancer survivors. The findings of this work will inform and allow for more individualised nutrition care. By tailoring interventions to these specific groups, we can enhance the precision of care, improve prognostic accuracy, and significantly elevate the quality of life of survivors. This work underscores the critical importance of symptom management in the continuum of cancer care, ensuring that every survivor receives comprehensive support tailored to their unique journey.

Differential Treatment Responses of Maltreated and Neglected Children and Adolescents Following an Evidence-based Multisystemic Intervention.

Limited studies have investigated differential treatment responses to family-based treatment programs and subgroup trajectories in youth in a high-risk context. This study pioneered an examination of Multisystemic Therapy for Child Abuse and Neglect (MST-CAN) and built on prior research that identified subgroups with different psychopathologies. Participants included 208 parent-child dyads enrolled in the MST-CAN evaluation in Switzerland. Parents reported their children's (Mage = 10.27years, SDage = 3.5, 44.2% girls, 55.8% boys, 98.6% White) emotional and behavioral problems. Longitudinal data were examined to analyze the differential changes within the pre- and post-treatment (T1 and T2) subgroups. The T1 cluster and T2 cluster were cross-tabulated to examine changes in the symptom class over time. Overall, the treatment proved to be highly beneficial. Subgroup analyses revealed that four out of the five subgroups (80%) showed positive changes in at least two outcome measures. The treatment was most successful for children with externalizing symptoms. Children with multiple symptoms also showed improvements across different symptoms. Regarding specific symptoms, children with anxious-avoidant symptoms benefited from the treatment. Additionally, the treatment was beneficial for children with normative emotions and behavior. Meanwhile, the treatment did not have any significant effects for children with internalizing symptoms. Notably, child neglect was reduced in three (60%) subgroups. The symptom class remained stable across time for children with externalizing and multiple symptoms. Ultimately, MST-CAN reduced emotional and behavioral problems and child neglect in most families. Understanding children's differential treatment responses to complex treatment programs is essential to adequately address different needs.

The relationship between co-occurring traumatic experiences and co-occurring mental health domains for veterans resident in Northern Ireland

IntroductionVeterans residing in Northern Ireland (NI) likely experience higher levels of co-occurring lifetime trauma exposure and associated co-occurring mental health symptoms, due to the Troubles. As NI veterans have been subject to little exploration it is difficult to know how to support them. This exploratory study explored the co-occurrence of mental health symptoms as a function of co-occurring traumatic experiences.MethodsTwo latent class analyses (LCA) were conducted on NI veteran data (n = 609). One LCA factored endorsements of 16-lifetime traumatic events, with a separate LCA exploring the co-occurrence of symptoms across six mental health domains. Mental health symptom classes were considered as a function of trauma classes, military-specific variables, gender and age.ResultsThree trauma classes were identified: High Multi Trauma (10.84%); High Combat/Conflict (47.62%); Moderate Combat Conflict (41.54%), and three mental health symptom classes: High Co-occurring Mental Health (19.38%); High Depression Moderate Anxiety/Alcohol (24.63%); Moderate Alcohol/Normative (55.99%). Significant predictors of High Co-occurring Mental Health class membership were UDR service, ‘Worst’ military trauma and High Multi Trauma class membership. Both combat classes had a negative relationship with the High Co-occurring Mental Health. Predictors of the High Depression Moderate Anxiety/Alcohol class were High Multi Trauma class membership and UDR service, with Age and Moderate Combat Class membership having a negative relationship.DiscussionNI veterans could be labelled as ‘traumatised’ due to high levels of combat/conflict exposure, yet the two combat classes seemed unrelated to membership of poorer mental health classes. UDR membership indicated that living in one’s theatre of war could have mental health implications. It was concerning that 45% experienced some co-occurring mental health symptoms with 19% experiencing the poorest symptoms. Hazardous alcohol use appeared unrelated to poor mental health. Further research is needed, utilising robust methods. No clinical inferences are to be made from this exploratory study.

Motor progression trajectories and risk of mild cognitive impairment in Parkinson's disease: A latent class trajectory model from PPMI cohort.

Rare studies have investigated the association between heterogeneity of motor progression and risk of early cognitive impairment in Parkinson's disease (PD). In this study, we aim to identify distinct trajectories of motor progression longitudinally and investigate their impact on predicting mild cognitive impairment (MCI). A 5-year cohort including 415 PD patients at baseline was collected from the Parkinson's Progression Markers Initiative. The severity of motor symptoms was evaluated using the Movement Disorder Society Unified Parkinson's Disease Rating Scale part III. The latent class trajectory model and nonlinear mixed-effects model were used to analyze and delineate the longitudinal changes in motor symptoms. Propensity score matching (PSM) was used to minimize the impact of potential confounders. Cox proportional hazard models were applied to calculate hazard ratios for MCI, and a Kaplan-Meier curve was generated using the occurrence of MCI during the follow-up as the time-to-event. Two latent trajectories were identified: a mild and remitting motor symptoms class (Class 1, 33.01%) and a severe and progressive motor symptom class (Class 2, 66.99%). Patients in Class 2 initially exhibited severe motor symptoms that worsened progressively despite receiving anti-PD medications. In comparison, patients in Class 1 exhibited milder symptoms that improved following drug therapy and a slower progression. During a 5-year follow-up, patients in Class 2 showed a higher risk of developing MCI compared to those in Class 1 before PSM (Log-Rank 28.58, p < 0.001) and after PSM (Log-Rank 8.20, p = 0.004). PD patients with severe and progressive motor symptoms are more likely to develop MCI than those with mild and stable motor symptoms.

Patterns of Self-Reported Mental Health Symptoms and Treatment among People Booked into a Large Metropolitan County Jail.

The Brief Jail Mental Health Screen (BJMHS) is one of the most well-known and frequently used tools to conduct routine mental health screening at jail intake. In prior research, the BJMHS results typically have been evaluated overall (i.e., yes/no positive screen). However, there is heterogeneity in symptom presentation and treatment histories among people with serious mental illness, and there are potential consequences of this heterogeneity for mental health administration and policy in jails. We conducted a latent class analysis of BJMHS item-level results using administrative data for 37,998 people booked into a southeastern, metropolitan, U.S. county jail over a 3.5-year period. A 4-class solution provided the best fitting and most interpretable model. The largest class (89.5%) comprised people unlikely to report symptoms or treatment histories (limited symptoms). The next class comprised people who were unlikely to report ongoing symptoms but reported medication and hospitalization (managed symptoms). The third class (2.5%) included people likely to report feeling useless/sinful, prior hospitalization, and current psychiatric medication (depressive symptoms). The fourth class (1.0%) comprised people likely to report thought control, paranoia, feeling useless/sinful, medication, and hospitalization (psychotic symptoms). Controlling for sociodemographic and booking characteristics, people in the managed, depressive, and psychotic symptoms classes had significantly longer jail stays compared to those in the limited symptoms class. People in the managed and depressive symptoms classes were at heightened risk of re-arrest compared to the limited symptoms class. Findings can inform case prioritization and the allocation of resources to support efficient and effective jail-based mental health services.

The Use of Hematopoietic Stem Cells for Heart Failure: A Systematic Review.

The purpose of this review is to summarize the current understanding of the therapeutic effect of stem cell-based therapies, including hematopoietic stem cells, for the treatment of ischemic heart damage. Following PRISMA guidelines, we conducted electronic searches in MEDLINE, and EMBASE. We screened 592 studies, and included RCTs, observational studies, and cohort studies that examined the effect of hematopoietic stem cell therapy in adult patients with heart failure. Studies that involved pediatric patients, mesenchymal stem cell therapy, and non-heart failure (HF) studies were excluded from our review. Out of the 592 studies, 7 studies met our inclusion criteria. Overall, administration of hematopoietic stem cells (via intracoronary or myocardial infarct) led to positive cardiac outcomes such as improvements in pathological left-ventricular remodeling, perfusion following acute myocardial infarction, and NYHA symptom class. Additionally, combined death, rehospitalization for heart failure, and infarction were significantly lower in patients treated with bone marrow-derived hematopoietic stem cells. Our review demonstrates that hematopoietic stem cell administration can lead to positive cardiac outcomes for HF patients. Future studies should aim to increase female representation and non-ischemic HF patients.

Impact of Circulating Anti-Spike Protein Antibody Levels on Multi-Organ Long COVID Symptoms.

Patients with long COVID syndrome present with various symptoms affecting multiple organs. Vaccination before or after SARS-CoV-2 infection appears to reduce the incidence of long COVID or at least limit symptom deterioration. However, the impact of vaccination on the severity and extent of multi-organ long COVID symptoms and the relationship between the circulating anti-spike protein antibody levels and the severity and extent of multi-organ symptoms are unclear. This prospective cohort study included 198 patients with previous PCR-verified SARS-CoV-2 infection who met the criteria for long COVID syndrome. Patients were divided into vaccinated (n = 138, 69.7%) or unvaccinated (n = 60, 30.3%) groups. Anti-spike protein antibody levels were determined at initial clinical presentation and compared between the groups. Long COVID symptoms were quantified on the basis of the number of affected organs: Class I (mild) with symptoms in three organs, Class II (moderate) with symptoms in four to five organs, and Class III (severe) with symptoms in six or more organ systems. Associations between time to infection and vaccination with anti-spike protein antibody levels were assessed. The anti-spike protein antibody levels were 1925 ± 938 vs. 481 ± 768 BAU/mL (p < 0.001) in the vaccinated vs. unvaccinated patients. The circulating anti-spike antibody cutoff of 665.5 BAU/mL allowed us to differentiate the vaccinated from the unvaccinated patients. Vaccinated patients had fewer class II and class III multi-organ symptoms (Class II 39.9% vs. 45.0%; Class III 10.1% vs. 23.3%, p-value 0.014). Anti-spike antibody level correlated negatively with multi-organ symptom classes (p = 0.016; 95% CI -1.229 to -0.126). Anti-spike antibody levels in unvaccinated patients declined markedly with time, in contrast to the persistence of high anti-spike antibody levels in the vaccinated patients. Multi-organ symptoms were lower in vaccinated long-COVID patients, especially in those with higher anti-spike antibody levels (≥665.5 BAU/mL). Classifying the symptoms on the basis of the number of affected organs enables a more objective symptom quantification.

Unveiling long COVID symptomatology, co-occurrence trends, and symptom distress post SARS-CoV-2 infection

BackgroundLong COVID, an emerging public health issue, is characterized by persistent symptoms following SARS-CoV-2 infection. This study aims to explore the relationship between post-COVID-19 symptomatology and patient distress employing Latent Class Analysis to uncover symptom co-occurrence patterns and their association with distress. MethodsA cross-sectional study was conducted using an online survey among 240 participants from a university and affiliated hospital of southern Taiwan. The survey quantified distress due to persistent symptoms and assessed the prevalence of Long COVID, symptom co-occurrence, and latent symptom classes. Latent Class Analysis (LCA) identified distinct symptom patterns, and multiple regression models evaluated associations between symptom patterns, distress, and demographic factors. ResultsThe study found that 80 % of participants experienced Long COVID, with symptoms persisting for over three months. Individuals with multiple COVID-19 infections showed a significant increase in general (β = 1.79), cardiovascular (β = 0.61), and neuropsychological symptoms (β = 2.18), and higher total distress scores (β = 6.35). Three distinct symptomatology classes were identified: "Diverse", "Mild", and "Severe" symptomatology. The "Mild Symptomatology" class was associated with lower distress (−10.61), while the "Severe Symptomatology" class showed a significantly higher distress due to symptoms (13.32). ConclusionThe study highlights the significant impact of Long COVID on individuals, with distinct patterns of symptomatology and associated distress. It emphasizes the cumulative effect of multiple COVID-19 infections on symptom severity and the importance of tailored care strategies.

Influence of early childhood parental hostility and socioeconomic stress on children's internalizing symptom trajectories from childhood to adolescence.

Children and adolescents with elevated internalizing symptoms are at increased risk for depression, anxiety, and other psychopathology later in life. The present study examined the predictive links between two bioecological factors in early childhood-parental hostility and socioeconomic stress-and children's internalizing symptom class outcomes, while considering the effects of child sex assigned at birth on internalizing symptom development from childhood to adolescence. The study used a sample of 1,534 children to test the predictive effects of socioeconomic stress at ages 18 and 27 months; hostile parenting measured at child ages 4-5; and sex assigned at birth on children's internalizing symptom latent class outcomes at child ages 7-9, 10-12, 13-15, and 16-19. Analyses also tested the mediating effect of parenting on the relationship between socioeconomic stress and children's symptom classes. Other covariates included parent depressive symptoms at child ages 4-5 and child race and ethnicity. Analyses identified three distinct heterogenous internalizing symptom classes characterized by relative symptom levels and progression: low (35%); moderate and increasing (41%); and higher and increasing (24%). As anticipated, higher levels of parental hostility in early childhood predicted membership in the higher and increasing symptom class, compared with the low symptom class (odds ratio (OR) = .61, 95% confidence interval (CI) [.48,.77]). Higher levels of early childhood socioeconomic stress were also associated with the likelihood of belonging to the higher-increasing symptom class compared to the low and moderate-increasing classes (OR = .46, 95% CI [.35,.60] and OR = .56, 95% CI [.44,.72], respectively). The total (c = .61) and direct (c' = .57) effects of socioeconomic stress on children's symptom class membership in the mediation analysis were significant (p <.001). Study findings suggest that intervening on modifiable bioecological stressors-including parenting behaviors and socioeconomic stressors-may provide important protective influences on children's internalizing symptom trajectories.

Trajectories in depressive symptoms and midlife brain health

Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26−45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a “declining” class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms (“steady high”; n = 264, 6.7%), a class with late increases in symptoms (“increasing”; n = 277, 7%), and a class with consistently low symptoms (“steady low”; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: −180.80, 95% CI: −336.69 to −24.91) and the amygdala (β: −40.97, 95% CI: −74.09 to −7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage.

Personality Disorder Symptoms in Intermittent Explosive Disorder: A Latent Class Analysis.

Intermittent explosive disorder (IED) is characterized by recurrent reactive aggression. IED is associated with significant personality pathology that is suggestive of higher levels of general personality disorder (PD). However, little is known about how personality factors impact the severity and presentation of IED. The present study employed a latent class analysis to assess for distinct PD symptom classes within IED and to evaluate whether these classes differed in terms of severity and behavioral presentation. Statistical and clinical indicators revealed a four-class model, with latent classes distinguished primarily on general levels of PD symptoms (low, moderate, high). However, the two moderate PD symptom classes were distinguished from other classes on avoidant PD. In addition, classes differed in terms of severity and presentation, suggesting important implications for both general PD and avoidant PD comorbidity within IED. Results provide further insight into the heterogeneity within IED and suggest a more nuanced approach in treating this serious condition.

Posttraumatic stress and depression symptom classes in parents of trauma-exposed children: a transdiagnostic perspective using pooled individual participant data.

Background: In the aftermath of child trauma, post-traumatic stress (PTS) and depression symptoms often co-occur among trauma exposed children and their parents. Studies have used latent class analysis (LCA) to examine PTS and depression symptoms and identify homogeneous subgroups among trauma exposed children. However, little is known about subgroups or classes of PTS and depression reactions of parents of traumatised children.Objectives: (1) Determine PTS and depression symptom classes at 2-9 months post-trauma, and (2) to examine sociodemographic covariates among parents of trauma exposed children.Methods: Using harmonised individual participant data (n = 702) from eight studies (Australia, UK, US) included in the Prospective studies of Acute Child Trauma and Recovery Data Archive (PACT/R), we modelled these phenomena at the symptom level using LCA.Results: Our LCA yielded three solutions: 'high internalizing symptom' class (11%); 'low PTS-high depression' class (17%); and 'low internalizing symptom' class (72%). Parents of children in the 'low PTS-high depression' class were more likely to have children of older age and be part of an ethnic minority, compared to the 'low internalizing symptoms' class. Mothers were more likely to be in the 'high internalizing symptom' class compared to the 'low internalizing symptoms' class.Conclusions: These findings reveal a qualitative structure and relationship between depression and PTS symptoms that highlights the importance of assessing and targeting a broad range of internalising symptoms in post-trauma psychological treatment.

A latent class analysis of dissociative PTSD subtype among Chinese adolescents following the COVID-19 pandemic and lockdown

BackgroundThe COVID-19 pandemic and related policies have amplified the vulnerability of adolescents to the development of posttraumatic stress disorder (PTSD) and dissociation symptoms. This study sought to explore the profile patterns and psychopathological characteristics of co-occurring PTSD and dissociation symptoms in Chinese adolescents. MethodsA total of 57,984 junior and senior high school students in Deyang City, China were recruited between July 13 and July 19, 2020. PTSD and dissociation symptoms, risk factors, and functional impairment variables were assessed using the Global Psychotrauma Screen for Teenagers (GPS-T) instrument. Latent class analysis (LCA) was employed to examine the phenomenology and risk factors of co-occurring PTSD and dissociation symptoms. Analysis of Variance (ANOVA) was utilized to investigate differences in COVID-19 pandemic-related exposure and functional impairment across distinct symptom profiles. ResultsA 4-class model was selected as the optimal solution, comprising subgroups of low symptom, predominant PTSD symptom, predominant dissociation symptom, and PTSD-dissociation symptom. Class membership could be significantly predicted by other stressful experiences, social support, childhood maltreatment and psychiatric histories. The PTSD-dissociation symptom class exhibited the most severe COVID-19 pandemic-related exposure and functional impairment among all classes. LimitationsThe cross-sectional design, Chinese cultural background, online survey method and oversimple measurements were the limitations. ConclusionsOur findings extend existing knowledge about the coexisting patterns of PTSD and dissociation symptoms in adolescents, which could assist in identifying high-risk youths. Furthermore, our findings offer recommendations for shaping public health policies and formulating effective clinical interventions for adolescents following the COVID-19 pandemic and lockdown.

Long COVID is not a uniform syndrome: Evidence from person-level symptom clusters using latent class analysis

BackgroundThe current study aims to enhance insight into the heterogeneity of long COVID by identifying symptom clusters and associated socio-demographic and health determinants. MethodsA total of 458 participants (Mage 36.0 ± 11.9; 46.5% male) with persistent symptoms after COVID-19 completed an online self-report questionnaire including a 114-item symptom list. First, a k-means clustering analysis was performed to investigate overall clustering patterns and identify symptoms that provided meaningful distinctions between clusters. Next, a step-three latent class analysis (LCA) was performed based on these distinctive symptoms to analyze person-centered clusters. Finally, multinominal logistic models were used to identify determinants associated with the symptom clusters. ResultsFrom a 5-cluster solution obtained from k-means clustering, 30 distinctive symptoms were selected. Using LCA, six symptom classes were identified: moderate (20.7%) and high (20.7%) inflammatory symptoms, moderate malaise-neurocognitive symptoms (18.3%), high malaise-neurocognitive-psychosocial symptoms (17.0%), low-overall symptoms (13.3%) and high overall symptoms (9.8%). Sex, age, employment, COVID-19 suspicion, COVID-19 severity, number of acute COVID-19 symptoms, long COVID symptom duration, long COVID diagnosis, and impact of long COVID were associated with the different symptom clusters. ConclusionsThe current study’s findings characterize the heterogeneity in long COVID symptoms and underscore the importance of identifying determinants of different symptom clusters.

Complicated grief and posttraumatic stress after loss and separation under terror conditions.

The lives of people in conflict areas are often characterized by the experience of traumatic events frequently accompanied by loss and separation. These can equally trigger symptoms of posttraumatic stress disorder (PTSD) and complicated grief (CG). The aim of the present study was to investigate whether affected individuals could be assigned to distinct classes at symptom-cluster levels of these two disorders. Moreover, we aimed to identify event-related and sociodemographic predictors associated with membership in these pathological classes. Participants were Iraqi internally displaced persons (IDPs; N = 199) who fled their hometowns due to the ISIS conflict and reported having lost an important person within the past 5 years. Based on the PTSD Checklist for DSM-5 (PCL-5) and Inventory of Complicated Grief (ICG), a latent class analysis (LCA) was applied to examine different classes of symptom clusters. Multinomial logistic regression was used to determine which variables predicted assignment to these symptom classes. The impact of loss and separation among IDPs in Iraq manifested in CG symptoms in more than half of the affected population and was often accompanied by PTSD. LCA identified a low-symptoms class (17.6%), CG class (33.7%), PTSD class (12.1%), and comorbid PTSD+CG class (36.7%). The sudden or violent death of a loved one was identified as a distinguishing factor for PTSD. Furthermore, separation was associated with comorbidity. Aid agencies should take these specific factors into account to improve effective and economic aid delivery to IDPs continuously affected by terror.

Adverse Childhood Experiences and Higher Levels of Stress Are Associated With the Co-occurrence of Cancer-Related Cognitive Impairment and Anxiety

We sought to identify subgroups of patients with distinct joint cancer-related cognitive impairment (CRCI) AND anxiety profiles and evaluate for differences in demographic and clinical characteristics, as well as levels of global stress, cancer-specific stress, cumulative life stress, and resilience. Patients (n = 1332) completed the Attentional Function Index and the Spielberger State Anxiety Inventory six times over two cycles of chemotherapy. Global, cancer-specific, and cumulative life stress and resilience were evaluated using Perceived Stress Scale, Impact of Event Scale-Revised, Life Stressor Checklist-Revised, and Connor-Davidson Resilience Scale, respectively. Latent profile analysis was used to identify subgroups of patients with distinct joint CRCI AND anxiety profiles. Differences were evaluated using parametric and nonparametric tests. Three classes were identified (ie, No CRCI and Low Anxiety [57.3%], Moderate CRCI and Moderate Anxiety [34.5%], and High CRCI and High Anxiety [8.2%]). All of the stress measures showed a dose-response effect (ie, as the CRCI AND anxiety profile worsened, scores for all three types of stress increased). The two highest symptom classes reported higher occurrence rates for six specific stressors (eg, emotional abuse, physical abuse, sexual harassment). Findings suggest that higher levels of co-occurring CRCI AND anxiety are associated with some common risk factors, as well as higher levels of stress and lower levels of resilience. Increased knowledge of modifiable risk factors and sources of stress associated with the co-occurrence of these two symptoms will assist clinicians to identify high-risk patients and implement individualized interventions.

Depressive Symptoms in Young and Middle-Aged Stroke Patients: A Transition Analysis.

There is heterogeneity in depressive symptoms. However, latent classes of depressive symptoms and the transition and influences of these in young and middle-aged stroke patients are unclear. The aim of this study was to identify the latent classes of depressive symptoms and their transition patterns over time and the influencing factors in young and middle-aged stroke patients from stabilization to 6 months after discharge. This is a longitudinal study following the Strengthening the Reporting of Observational Studies in Epidemiology checklist. A total of 272 young and middle-aged stroke participants were recruited from a hospital neurology ward in Henan Province, China. Participants completed a questionnaire on sociodemographic and health information. Latent transition analysis was used to evaluate the transition pattern of latent classes from stabilization to 6 months after discharge and its influencing factors. One hundred seventy-nine participants were included in the analysis. Three latent classes of depressive symptoms were identified as "mild symptoms," "grief-sleep-fatigue symptoms," and "severe symptoms." Most participants remained in the original latent class from stabilization to 6 months after discharge (probability of 83.8%, 83.8%, and 88.8%). From 3 to 6 months after discharge, the participants with fewer complications were more likely to transition into the mild symptom class. The findings indicate that from stabilization to 6 months after discharge, depressive symptoms in young and middle-aged stroke patients in China transitioned gradually from the severe symptom class to the mild symptom. Patients with fewer numbers of poststroke complications were more likely to transition to the mild symptoms class. Future research should focus on depressive symptoms in early-stage stroke patients and provide sufficient psychological support to patients with a high number of complications.

Correlation of new menstrual symptom abnormalities (FIGO 2018) with endometrial histopathology in cases of abnormal uterine bleeding

ObjectiveTo find the correlation between new symptom classes of menstrual abnormalities (FIGO 2018) and endometrial histology. MethodsThis hospital based cross sectional study was conducted in 225 married women aged between 20 and 75 years of age over a period of one year in a tertiary care teaching hospital. The women presenting with any menstrual abnormality for 3 months or more duration were included in the study after institutional ethical clearance and informed consent. Transvaginal sonography was done to exclude structural causes like uterine fibroids, endometrial polyps and adenomyosis. All patients with endometrial thickness above 4 mm underwent endometrial aspiration for histological diagnosis. Data was analysed on SPSS 21 version. ResultsThe mean age was 39.73 years and majority (83%) were parous women. The most common menstrual abnormality was heavy menstrual bleeding (29.3%) followed by post-menopausal bleeding (19.6%). The most common histological abnormality (44.9%) was proliferative endometrium not in phase with menstrual cycle followed by simple hyperplasia (6.7%). The menstrual symptoms of amenorrhoea and scanty menstrual bleeding, both had significant association (p = 0.001 & p < 0.001) with tubercular endometritis. Heavy menstrual bleeding had significant association (p = 0.025) with ovulatory dysfunction and postmenopausal bleeding (p < 0.001) had significant association with endometrial hyperplasia and carcinoma. ConclusionAmong all the symptoms of menstrual abnormalities, amenorrhoea, scanty menstrual bleeding, heavy menstrual bleeding and postmenopausal bleeding are significantly associated with endometrial pathology in the absence of any organic lesions.

Targeted deep learning classification and feature extraction for clinical diagnosis

Protein biomarkers can be used to characterize symptom classes, which describe the metabolic or immunodeficient state of patients during the progression of a specific disease. Recent literature has shown that machine learning methods can complement traditional clinical methods in identifying biomarkers. However, many machine learning frameworks only apply narrowly to a specific archetype or subset of diseases. In this paper, we propose a feature extractor which can discover protein biomarkers for a wide variety of classification problems. The feature extractor uses a special type of deep learning model, which discovers a latent space that allows for optimal class separation and enhanced class cluster identity. The extracted biomarkers can then be used to train highly accurate supervised learning models. We apply our methods to a dataset involving COVID-19 patients and another involving scleroderma patients, to demonstrate improved class separation and reduced false discovery rates compared to results obtained using traditional models.

A pilot study evaluating the role of ivabradine for rate control in patients with rheumatic atrial fibrillation

ObjectivesIvabradine may have a role in rate control of atrial fibrillation (AF) due to effects on HCN channels in AV node. We studied role of Ivabradine in rate control of rheumatic AF. Methods80 patients, rheumatic AF, HR > 100 bpm (age 47 ± 11 yrs, AF duration 6.8 ± 2.9 years, rate 131 ± 16 bpm) on maximally tolerated ββ or CCB's, randomized to Ivabradine or escalated ββ/CCB. Ivabradine started @ 2.5 mg BD; increased to 5 mg BD if inadequate response at 1 week (failure to decrease HR < 10% vs baseline). After Holter at 1 month, dose escalated to 7.5 mg BD if needed. ResultsIvabradine resulted in significantly lower HR (81 ± 10 vs 99 ± 9) at 3 months and 6 months (79 ± 8 vs 94 ± 8, p < 0.001). Absolute reduction in HR: 56 ± 15 vs 31 ± 14 bpm and % change in HR: 41 ± 7 vs 24 ± 9%, both p < 0.00001).At 6 months, Ivabradine group had.1Significantly lower NT Pro BNP (1168 vs 1314 pg/ml), higher 6 min walk distance (410 ± 47 vs 349 ± 54 m, all p < 0.001)2Better symptom class (EHRA score 1: asymptomatic 84% vs 40%), improvement >1 EHRA class; baseline 60% vs 17%3Better LA Strain (22.8 ± 2.8% vs 20.6 ± 2.5%)Ivabradine was well tolerated and there was no drug withdrawal. ConclusionOur data suggest that Ivabradine can be an option for rate control in rheumatic AF.