Fluctuations In Symptoms Research Articles

Transarterial Radioembolisation with Y90 Resin Microspheres and the Effect of Reimbursement Criteria in France: Final Results of the CIRT-FR Prospective Observational Study.

This analysis of the CIRSE Registry for SIR-Spheres Therapy in France, CIRT-FR, reports on real-world outcomes of transarterial radioembolisation (TARE) with Y90 resin microspheres for hepatocellular carcinoma (HCC) and colorectal cancer liver metastases (CRLM) patients in France, focusing on safety, effectiveness and health-related quality of life (HRQoL). Results on patients treated based on national reimbursement criteria are discussed here. Prospective, multicentre, observational study of HCC and CRLM patients treated between August 2017 and July 2020 with TARE Y90 resin microspheres. Patients were assigned to different analysis groups based on reimbursement recommendations. Follow-up period was at least 24months with patient data collected every 3months. In total, 252 (193 HCC, 59 CRLM) patients of CIRT-FR were included in the analysis. No differences in effectiveness, safety and HRQoL were found between analysis groups based on reimbursement recommendations. Median overall survival for HCC and CRLM was 19.0 (95% CI, 16.1-22.4) and 10.8 (95% CI, 8.0-13.5) months, respectively. Serious procedure-related adverse events occurred in 13% of the patients. HRQoL generally remained stable, with some fluctuations in function scores and symptoms. In our cohorts, patients performed similarly regarding clinical outcomes irrespective of their analysis group based on reimbursement recommendations. Our results suggest that instead of restrictive reimbursement criteria, more decision-making power in selecting suitable patient groups could be given to multidisciplinary tumour boards. Results confirm that TARE with Y90 resin microspheres is an effective and safe treatment for liver cancer, with maintained HRQoL in most patients.

The Presence/Absence of an Awake-State Dominant EEG Rhythm in Delirious Patients Is Related to Different Symptoms of Delirium Evaluated by the Intensive Care Delirium Screening Checklist (ICDSC).

(1) Background: Delirium is a serious condition in patients undergoing treatment for somatic diseases, leading to poor prognosis. However, the pathophysiology of delirium is not fully understood and should be clarified for its adequate treatment. This study analyzed the relationship between confusion symptoms in delirium and resting-state electroencephalogram (EEG) power spectrum (PS) profiles to investigate the heterogeneity. (2) Methods: The participants were 28 inpatients in a general hospital showing confusion symptoms with an Intensive Care Delirium Screening Checklist (ICDSC) score of 4 or above. EEG was measured at Pz in the daytime awake state for 100 s with the eyes open and 100 s with the eyes closed on the day of the ICDSC evaluation. PS analysis was conducted consecutively for each 10 s datum. (3) Results: Two resting EEG PS patterns were observed regarding the dominant rhythm: the presence or absence of a dominant rhythm, whereby the PS showed alpha or theta peaks in the former and no dominant rhythm in the latter. The patients showing a dominant EEG rhythm were frequently accompanied by hallucination or delusion (p = 0.039); conversely, those lacking a dominant rhythm tended to exhibit fluctuations in the delirium symptoms (p = 0.020). The other ICDSC scores did not differ between the participants with these two EEG patterns. (4) Discussion: The present study indicates that the presence and absence of a dominant EEG rhythm in delirious patients are related to different symptoms of delirium. Using EEG monitoring in the care of delirium will help characterize its heterogeneous pathophysiology, which requires multiple management strategies.

Dysfunctional oscillatory bursting patterns underlie working memory deficits in adolescents with ADHD.

Identifying neural markers of clinical symptom fluctuations is prerequisite to developing more precise brain-targeted treatments in psychiatry. We have recently shown that working memory (WM) in healthy adults is dependent on the rise and fall interplay between alpha/beta and gamma bursts within frontoparietal regions, and that deviations in these patterns lead to WM performance errors. However, it is not known whether such bursting deviations underlie clinically relevant WM-related symptoms or clinical status in individuals with WM deficits. In adolescents (n=27) with attention deficit hyperactivity disorder (ADHD), we investigated WM-related dynamics between alpha/beta and gamma bursts in relation to clinical status fluctuations. Participants repeatedly completed a visual Sternberg spatial working memory task during EEG recording as part of their participation in two research studies (n=224 person-sessions). Source localizing EEG data to each participant's structural MRI, the rate and volume of alpha, beta, and gamma bursts were examined within the dorsolateral prefrontal cortex (DLPFC) and posterior parietal cortex (PPC). Alpha/beta and gamma bursts at the DLPFC and PPC displayed complimentary roles in WM processes. Alpha/beta bursting decreased during stimuli encoding and increased during the delay, while gamma bursting was elevated during encoding and decreased during the delay. Deviations in bursting patterns were associated with WM errors and clinical symptoms. We conclude that dysfunctional alpha/beta and gamma burst dynamics within the frontoparietal region underlie both intra-individual WM performance and WM symptom fluctuations in adolescents with ADHD. Such burst dynamics reflect a novel target and biomarker for WM-related treatment development.

Exploring patients’ views regarding the support and rehabilitation needs of people living with myocardial ischaemia and no obstructive coronary arteries: a qualitative interview study

ObjectivesThis study aimed to generate new qualitative insights to understand the rehabilitation needs of people living with a confirmed or presumed diagnosis of ischaemia with no obstructive coronary arteries (INOCA),...

Association Between Chronic Pain and Fatigue Severity with Weather and Air Pollution Among Females with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Weather and air quality conditions have been anecdotally reported to be related to symptom fluctuations in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), but this has never been empirically investigated. This exploratory study aims to examine the effects of weather and air quality on daily fluctuations of chronic pain and fatigue in women with ME/CFS. In an intensive longitudinal design, 58 participants with ME/CFS provided daily pain and fatigue ratings for an average of 61 days. Daily weather and air quality data were obtained from the National Oceanic and Atmospheric Administration and the US Environmental Protection Agency for the Birmingham, AL area. Linear mixed models revealed a significant relationship between days with more severe pain and worse Air Quality Indices (AQI, p < 0.001), lower wind speeds (p = 0.009), greater particulate matter (p = 0.037), and lower carbon monoxide (p = 0.004), sulfur dioxide (p = 0.003), and ozone levels (p = 0.015). Greater fatigue was associated with more particulates (p = 0.023) and lower barometric pressure (p = 0.048). These results suggest that air quality and weather can have small effects on ME/CFS symptom severity.

Menstrual cycle related depressive symptoms and their diurnal fluctuations – an ambulatory assessment study

BackgroundReproductive mood disorders indicate that within-person variation in depressive symptoms across the menstrual cycle can be related to ovarian hormone changes. Until now, such cycle-related symptom changes have been measured once daily, even though depression research indicates systematic diurnal changes in symptoms. Further, previous research often focused on aggregated depression scores. This study examined whether three daily assessments of depressive symptoms follow similar trajectories across the menstrual cycle and investigated within-person cyclical fluctuation of all individual symptoms and the aggregated score.Methods77 naturally-cycling participants (35 with and 42 without depressive disorder) provided three daily ratings of depressive symptoms across one menstrual cycle to evaluate individual and summarized symptoms.ResultsReliability estimates (w) of the three diurnal measurements ranged from 0.56 to 0.78. Cyclicity showed statistically significant interindividual differences for all symptoms, and individual symptoms differed significantly from each other in their magnitude of cyclicity.LimitationsOnly one menstrual cycle was assessed to reduce participant burden. Further, ovulation testing dates were based on self-reported cycle lengths, and only LH (luteinizing hormone) peaks were tested without subsequent progesterone rises.ConclusionsThe results highlight the need for a symptom-specific approach to assess individual variance in cyclicity of depressive symptoms. Reliability for one daily assessment can be improved by using the afternoon value, a sum score for depressiveness, or multiple items per symptom. Furthermore, this study emphasizes, that depressive symptoms can systematically change across the menstrual cycle, and it is, therefore, important to include it in depression research. Exploring female-specific risk factors of depression will enable the development of person-tailored treatments.Trial registrationThe study was preregistered at ClinicalTrials.gov (NCT04086316) with the first registration on 27/08/2019.

Impact of disease cyclicity on quality-of-life impairment—A mixed method explanatory study

BackgroundDisease cyclicity, a composite measure of unpredictable and daily fluctuations of symptoms, strongly predicts quality-of-life (QoL) impairment. ObjectiveTo explore the mechanisms by which cyclicity impacts QoL. Methods1:1 semi-structured interviews were conducted and qualitatively analyzed using grounded theory. Common themes were identified and used to derive a theoretical framework. Results23 adults, (median age 28.5, range 20-72) with a range of chronic inflammatory diseases including eczema, psoriasis and inflammatory arthritis were prospectively recruited. Cyclicity, characterized by unpredictability, uncontrollability, and lability, contributed to a varying productivity and inconsistent ability in performing daily activities. Challenges intensified if external expectations of the patient were inconsistent with their fluctuating ability. Coping abilities, shaped by internal and external factors, moderated the relationship between cyclicity and QoL impairment. LimitationsQualitative interviews assume patients have accurate insights into their own behaviours. The generalizability of findings may be limited in other populations. ConclusionDisease cyclicity defines many inflammatory diseases. This study provides a theoretical framework for understanding and managing the challenges patients with a cyclical condition face.

Nomogram for predicting early neurological deterioration in patients with mild large and medium vessel occlusion stroke intended for medical management: a multicenter retrospective study

BackgroundAccurately forecasting early neurological deterioration of ischemic origin (ENDi) following medical management may aid in identifying candidates for thrombectomy. We aimed to develop and validate a nomogram to predict ENDi...

7984 A Challenging Case Of Hyperphosphatemic Familial Tumoral Calcinosis

Abstract Disclosure: T.G. de Souza: None. T.J. Weber: None. Introduction: Hyperphosphatemic Familial Tumoral Calcinosis (hFTC) is a rare, autosomal recessive metabolic disorder characterized by elevated serum phosphate levels and the accumulation of calcium phosphate deposits in soft tissues. There are fewer that 150 genetically confirmed cases in the literature. There are no consensus guidelines; therapeutic approaches are guided by case reports or series. This case serves to heighten awareness of therapeutic strategies including global health considerations for the disabled adult with a rare bone disorder. Case: A 32-year-old African-American woman presented to establish care for hFTC, for which she takes ibuprofen for disabling bilateral hip pain. hFTC was diagnosed in early childhood and managed at a large children’s hospital. Therapeutic modalities relied on operative resection of skin lesions on eruption. She describes cosanguinous parentage, consignment to foster care as a child and homelessness as an adult. She has not had adult endocrine care for her hFTC. Her medical comorbidities include major depressive disorder, PTSD and suicide attempt. She reports one uncle with hFTC noting that his phenotype was not significantly disabling and apparent recession of his lesions with age. Her parents did not have symptoms of hFTC. Radiographically, she had amorphous calcium deposits over both hips (her primary sites of severe pain), upper back (site of painless spontaneous eruptions), and left elbow without pain or skin penetration, as well as hyperostosis of the ilium bilaterally. She noticed waxing and waning of her eruptions with her menstrual cycle, such that lesions worsen in the luteal phase. Megestrol acetate also induced new eruptions. Examination shows brown staining to all teeth with several missing teeth. She had a marked lower extremity limb length discrepancy with severe restriction of hip abduction. Blood chemistries were grossly normal, including renal function, calcium, uric acid and PTH. Serum phosphorous was elevated at 5.2 (2.3 - 4.5 mg/dL). CT showed bilateral nephrocalcinosis. We instituted treatment with a low phosphorous diet, sevelamer to reduce intestinal phosphate absorption and acetazolamide to increase urinary phosphate excretion. For her pain and functional disability, we recommended continued NSAIDs, physical therapy and social work consultation to facilitate continued access to care. Conclusions: This case uniquely describes hFTC symptom fluctuation with the menstrual cycle, worsening with increased progesterone, suggesting a possible role of gonadal hormones on FGF-23 biology. It also highlights the socioeconomic burdens that can accompany rare bone disease, which become more pronounced as the patient achieves adulthood. Successful transition of care from pediatric to adult endocrinologist, in addition to engaging multi-disciplinary support, is essential in optimizing life-long care in hFTC. Presentation: 6/1/2024

Pain Fluctuations in Parkinson's Disease and Their Association with Motor and Non-Motor Fluctuations.

Pain fluctuations are a characteristic phenomenon in advanced Parkinson's disease (PD), but their temporal association with motor and non-motor symptom (NMS) fluctuations remains largely enigmatic. Moreover, data on their importance for disease severity perception and health-related quality-of-life (hr-QoL) is limited. To dissect pain fluctuations with respect to pain type and frequency patterns, and their association with motor and non-motor fluctuations. Prospective observational cohort study in advanced PD assessing symptom fluctuations by simultaneous hourly ratings using the PD Home diary (Off, On, Dyskinetic state), a pain diary (assessing 9 pain types) and a non-motor diary (10 key NMS) based on validated instruments. Forty-seven out of 55 eligible participants with fluctuating PD (51% men, median age 65, median disease duration 10 years) had sufficient datasets (>95% of hours) from 2 consecutive days. Pain was reported in 35% of waking hours with clear circadian rhythm peaking in early morning Off periods and clustering during motor Off state (49% of Off state hours with pain). Main NMS co-fluctuating with pain were "Fatigue" and "Inner Restlessness". Simultaneous assessment of global disease severity by participants revealed that pain was associated with worse disease severity only in motor On and Dyskinetic state but not in Off state, which translated into significant correlations of daily pain times with hr-QoL only during motor On and Dyskinetic state. Aside from treating motor Off periods, specific recognition of pain particularly during motor On and Dyskinetic state comprises an important aspect for disease management in advanced PD.

Gender matters for daily depression: Symptom fluctuations and links to self-expression

BackgroundDepression is a global health burden, disproportionately affecting women. A lack of contextual, real-life assessments considering the oft-gendered context (e.g., expression) of daily symptom fluctuations may contribute to this disparity. The current study examines: a) gender differences in daily depressive symptoms – and fluctuations; and b) daily links between self-perceived gender expression and depressive symptoms. MethodsEstablished adults (N = 96; Mage = 28.19, SDage = 8.43) participated in an ecologically-valid multi-wave 100-day intensive longitudinal study. They reported daily on their depressive symptoms, and on their self-expression in the final study wave. Gender differences in daily symptoms fluctuations (intraindividual standard deviations) and their links to gender expression (person-specific residualized correlations) were examined. ResultsWomen experienced greater day-to-day symptom fluctuations than men, after accounting for the gender difference in baseline symptoms (b = -0.05; 95 % CI: [-0.093, -0.012]). Results from a subsample (n = 28) showed that daily links between gender expression and depressive symptoms were heterogeneous: For 38.5 % of men and 53.3 % of women, daily increases in congruent gender expressions (i.e., masculine for men and feminine for women) corresponded with daily symptom decreases, but many individuals (46.4 %) did not show meaningful relations. ConclusionsResults highlight the utility of intensive longitudinal approaches for the study of depression and, for some people, the daily psychological relations with gender self-perceptions. Results also emphasize heterogeneity in depression etiology and the need for personalized basic and applied science. LimitationsFuture research on individuals with varying gender identities and clinical experiences is needed.

Frontostriatal salience network expansion in individuals in depression

Decades of neuroimaging studies have shown modest differences in brain structure and connectivity in depression, hindering mechanistic insights or the identification of risk factors for disease onset1. Furthermore, whereas depression is episodic, few longitudinal neuroimaging studies exist, limiting understanding of mechanisms that drive mood-state transitions. The emerging field of precision functional mapping has used densely sampled longitudinal neuroimaging data to show behaviourally meaningful differences in brain network topography and connectivity between and in healthy individuals2–4, but this approach has not been applied in depression. Here, using precision functional mapping and several samples of deeply sampled individuals, we found that the frontostriatal salience network is expanded nearly twofold in the cortex of most individuals with depression. This effect was replicable in several samples and caused primarily by network border shifts, with three distinct modes of encroachment occurring in different individuals. Salience network expansion was stable over time, unaffected by mood state and detectable in children before the onset of depression later in adolescence. Longitudinal analyses of individuals scanned up to 62 times over 1.5 years identified connectivity changes in frontostriatal circuits that tracked fluctuations in specific symptoms and predicted future anhedonia symptoms. Together, these findings identify a trait-like brain network topology that may confer risk for depression and mood-state-dependent connectivity changes in frontostriatal circuits that predict the emergence and remission of depressive symptoms over time.

Characterization of postintensive care syndrome in a prospective cohort of survivors of COVID-19 critical illness: a 12-month follow-up study

PurposeStudies integrating an exhaustive longitudinal long-term follow-up of postintensive care syndrome (PICS) in critically ill COVID-19 survivors are scarce. We aimed to 1) describe PICS-related sequelae over a 12-month period after intensive care unit (ICU) discharge, 2) identify relevant demographic and clinical factors related to PICS, and 3) explore how PICS-related sequelae may influence health-related quality of life (HRQoL) in critically ill COVID-19 survivors.MethodsWe conducted a prospective cohort study in adult critically ill survivors of SARS-CoV-2 infection that did or did not need invasive mechanical ventilation (IMV) during the COVID-19 pandemic in Spain (March 2020 to January 2021). We performed a telemedicine follow-up of PICS-related sequelae (physical/functional, cognitive, and mental health) and HRQoL with five data collection points. We retrospectively collected demographic and clinical data. We used multivariable mixed-effects models for data analysis.ResultsWe included 142 study participants in the final analysis, with a median [interquartile range] age of 61 [53–68] yr; 35% were female and 59% needed IMV. Fatigue/dyspnea, pain, impaired muscle function, psychiatric symptomatology and reduced physical HRQoL were prominent sequelae early after ICU discharge. Over the 12-month follow-up, functionality and fatigue/dyspnea improved progressively, while pain remained stable. We observed slight fluctuations in anxiety symptoms and perception of cognitive deficit, whereas posttraumatic stress disorder (PTSD) and depressive symptoms improved, with a mild rebound at the end of the follow-up. Female sex, younger age, and the need for IMV were risk factors for PICS, while having higher cognitive reserve was a potential protective factor. Physical HRQoL scores showed a general improvement over time, whereas mental HRQoL remained stable. Shorter ICU stay, better functionality, and lower scores for fatigue/dyspnea and pain were associated with better physical HRQoL, while lower scores for anxiety, depression, and PTSD were associated with better mental HRQoL.ConclusionsPostintensive care syndrome was common in COVID-19 critical illness survivors and persisted in a significant proportion of patients one year after ICU discharge, impacting HRQoL. The presence of risk factors for PICS may identify patients who are more likely to develop the condition and who would benefit from more specific and closer follow-up after ICU admission.Study registrationClinicalTrials.gov (NCT04422444); first submitted 9 June 2020.

Modern Approach to the Treatment of Dry Eye: A Complex Multifactorial Disease

Dry eye disease (DED) is a growing public health concern affecting quality of life and visual function, with a significant socio-economic impact. It is characterised by the loss of homoeostasis, resulting in tear film instability, hyperosmolarity and inflammation of the ocular surface. Treatment of DED should be aimed at the restoration of the homoeostasis of the ocular surface system. A proper diagnostic approach is fundamental to define the relevance and importance of each of the DED main pathogenic factors, namely tear film instability, epithelial damage and inflammation. All the factors that maintain the vicious circle of DED in the patient’s clinical presentation have to be considered and possibly treated simultaneously. The treatment should be long-lasting and personalised since it has to be adapted to the different clinical conditions observed along the course of the disease. Since DED treatment is frequently unable to provide fast and complete relief from symptoms, empathy with patients and willingness to explain to them the natural history of the disease are mandatory to improve patients’ compliance. Furthermore, patients should be instructed about the possible need to increase the frequency and/or change the type of treatment according to the fluctuation of symptoms, following a preplanned rescue regimen.

Using mHealth Technology to Evaluate Daily Symptom Burden among Adult Survivors of Childhood Cancer: A Feasibility Study.

Cancer therapies predispose survivors to a high symptom burden. This study utilized mobile health (mHealth) technology to assess the feasibility of collecting daily symptoms from adult survivors of childhood cancer to evaluate symptom fluctuation and associations with future health-related quality-of-life (HRQOL). This prospective study used an mHealth platform to distribute a 20-item cancer-related symptom survey (5 consecutive days each month) and an HRQOL survey (the day after the symptom survey) over 3 consecutive months to participants from the Childhood Cancer Survivor Study. These surveys comprised a PROMIS-29 Profile and Neuro-QOL assessed HRQOL. Daily symptom burden was calculated by summing the severity (mild, moderate, or severe) of 20 symptoms. Univariate linear mixed-effects models were used to analyze total, person-to-person, day-to-day, and month-to-month variability for the burden of 20 individual symptoms. Multivariable linear regression was used to analyze the association between daily symptom burden in the first month and HRQOL in the third month, adjusted for covariates. Out of the 60 survivors invited, 41 participated in this study (68% enrollment rate); 83% reported their symptoms ≥3 times and 95% reported HRQOL in each study week across 3 months. Variability of daily symptom burden differed from person-to-person (74%), day-to-day (18%), and month-to-month (8%). Higher first-month symptom burden was associated with poorer HRQOL related to anxiety (regression coefficient: 6.56; 95% CI: 4.10-9.02), depression (6.32; 95% CI: 3.18-9.47), fatigue (7.93; 95% CI: 5.11-10.80), sleep (6.07; 95% CI: 3.43-8.70), pain (5.16; 95% CI: 2.11-8.22), and cognitive function (-6.89; 95% CI: -10.00 to -3.79) in the third month. Daily assessment revealed fluctuations in symptomology, and higher symptom burden was associated with poorer HRQOL in the future. Utilizing mHealth technology for daily symptom assessment improves our understanding of symptom dynamics and sources of variability.

Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective.

Long COVID (Coronavirus disease), affecting millions globally, presents unprecedented challenges to healthcare systems due to its complex, multifaceted nature and the lack of effective treatments. This perspective review explores the potential of artificial intelligence (AI)-guided transcranial direct current stimulation (tDCS) as an innovative approach to address the urgent need for effective Long COVID management. The authors examine how AI could optimize tDCS protocols, enhance clinical trial design, and facilitate personalized treatment for the heterogeneous manifestations of Long COVID. Key areas discussed include AI-driven personalization of tDCS parameters based on individual patient characteristics and real-time symptom fluctuations, the use of machine learning for patient stratification, and the development of more sensitive outcome measures in clinical trials. This perspective addresses ethical considerations surrounding data privacy, algorithmic bias, and equitable access to AI-enhanced treatments. It also explores challenges and opportunities for implementing AI-guided tDCS across diverse healthcare settings globally. Future research directions are outlined, including the need for large-scale validation studies and investigations of long-term efficacy and safety. The authors argue that while AI-guided tDCS shows promise for addressing the complex nature of Long COVID, significant technical, ethical, and practical challenges remain. They emphasize the importance of interdisciplinary collaboration, patient-centered approaches, and a commitment to global health equity in realizing the potential of this technology. This perspective article provides a roadmap for researchers, clinicians, and policymakers involved in developing and implementing AI-guided neuromodulation therapies for Long COVID and potentially other neurological and psychiatric conditions.

Professor ZHUANG Lixing's experience of integrated acupuncture and medication approach to treat motor complications in Parkinson's disease based on the alternation of "movement and stillness"

This paper introduces Professor ZHUANG Lixing's experience in treating motor complications of Parkinson's disease (PD) with acupuncture combined with medication. Based on the characteristics of the alternation of "movement and stillness" in PD motor complications, Professor ZHUANG divides these complications into three distinct periods: "movement" stage, "stillness" stage and "alternation" stage, and proposes an integrated approach of acupuncture and medication, with staged treatment tailored to each period. The main acupoints include Jin's three needles to regulate spirit (four spirit needles, Shenting [GV 24], Yintang [GV 24+], Shenmen [HT 7], Sanyinjiao [SP 6]), along with hand tremor three needles (Hegu [LI 4], Quchi [LI 11], Dingchan), foot tremor three needles (Yinlingquan [SP 9], Yanglingquan [GB 34], Taichong [LR 3]), and Du's three needles (Dazhui [GV 14], Jinsuo [GV 8], Mingmen [GV 4]). The primary medicinal formulas include Lingjiao Gouteng decoction, Banxia Baizhu Tianma decoction, Bazhen decoction combined with Buzhong Yiqi decoction, Sini decoction combined with Yougui pills, and Xiaochaihu decoction. This integrated approach effectively alleviates the motor symptom fluctuations in PD patients, helping them maintain a stable life.

A month in review: longitudinal dynamics between daily PTSD symptom networks, affect, and drinking behaviors in female college students.

Sexual victimization (SV) is common among college women, with approximately half of those who have experienced SV meeting criteria for posttraumatic stress disorder (PTSD) within a year. Both SV and PTSD are associated with alcohol misuse among college women, often explained by the self-medication hypothesis. Existing literature focuses on overall PTSD severity rather than potential day-to-day fluctuations in specific symptoms, which might play a crucial role in understanding alcohol misuse risk. Studies also examine only same-day or next-day associations between PTSD and drinking, neglecting the potential for longer-term changes. This study explores the short-term longitudinal stability and time-lagged predictive dynamics of PTSD symptoms, affect, and drinking behavior among 174 female college heavy episodic drinkers over four weeks. Participants were categorized into three groups: those with a history of SV and PTSD (n = 77), women with SV but without PTSD (n = 59), and women without prior trauma history (n = 38) to be able to examine differences by trauma exposure, and PTSD. We compared the longitudinal stability of PTSD symptom networks, affect (arousal, positive affect, and negative affect), and drinking behavior across groups. Support vector regression determined which PTSD symptom networks and affect best predict drinking behavior at specific time lags within a 0-7 day range. The PTSD group showed higher longitudinal stability for PTSD symptom networks (adjusted ps <.049) and arousal (adjusted ps <.048), but lower stability for negative affect (adjusted p =.013) and drinking behavior, including alcohol cravings (adjusted p =.019) and consumption (adjusted ps =.012), compared to the comparison groups. This suggests individuals with PTSD have more stable symptoms and arousal levels but greater fluctuations in negative affect and alcohol-related behaviors. Secondary analysis revealed PTSD symptom networks optimally predicted alcohol cravings with a three-day time lag (r=.88, p <.001) and consumption with a four-day time lag (r=.82, p <.001). These findings challenge assumptions regarding immediate effects of PTSD and affect on drinking behavior and underscore the need for therapeutic approaches that consider longer-range effects. Future research should expand on these findings by incorporating longer-range assessments and exploring a broader range of symptom interactions.

Characterizing Myasthenia Gravis Symptoms, Exacerbations, and Crises From Neurologist's Clinical Notes Using Natural Language Processing.

Background Myasthenia gravis (MG) is a rare, autoantibody neuromuscular disorder characterized by fatigable weakness. Real-world evidence based on administrative and structured datasets regarding MG may miss important details related to the clinical encounter. Examination of free-text clinical progress notes has the potential to illuminate aspects of MG care. Objective The primary objective was to examine and characterize neurologist progress notes in the care of individuals with MG regarding the prevalence of documentation of clinical subtypes, antibody status, symptomatology, and MG deteriorations, including exacerbations and crises.The secondary objectives were to categorize MG deteriorations into practical, objective states as well as examine potential sources of clinical inertia in MG care. Methods We performed a retrospective, cross-sectional analysis of de-identified neurologist clinical notes from 2017 to 2022. A qualitative analysis of physician descriptions of MG deteriorations and a discussion of risks in MG care (risk for adverse effects, risk for clinical decompensation, etc.) was performed. Results Of the 3,085 individuals with MG, clinical subtypes and antibody status identified included gMG (n = 400; 13.0%), ocular MG (n = 253; 8.2%), MG unspecified (2,432; 78.8%), seropositivity for acetylcholine receptor antibody (n = 441; 14.3%), and MuSK antibody (n = 29; 0.9%). The most common gMG manifestations were dysphagia (n = 712; 23.0%), dyspnea (n = 626; 20.3%), and dysarthria (n = 514; 16.7%). In MG crisis patients, documentation of difficulties with MG standard therapies was common (n = 62; 45.2%). The qualitative analysis of MG deterioration types includes symptom fluctuation, symptom worsening with treatment intensification, MG deterioration with rescue therapy, and MG crisis. Qualitative analysis of MG-related risks included the toxicity of new therapies and concern for worsening MG because of changing therapies. Conclusions This study of neurologist progress notes demonstrates the potential for real-world evidence generation in the care of individuals with MG. MG patients suffer fluctuating symptomatology and a spectrum of clinical deteriorations. Adverse effects of MG therapies are common, highlighting the need for effective, less toxic treatments.

The Role of Defeatist Performance Beliefs in State Fluctuations of Negative Symptoms in Schizophrenia Measured in Daily Life via Ecological Momentary Assessment.

The Cognitive Model of Negative Symptoms is a prominent model that posits that defeatist performance beliefs (DPB) are a key psychological mechanism underlying negative symptoms in those with schizophrenia (SZ). However, the ecological validity of the model has not been established, and temporally specific evaluations of the model's hypotheses have not been conducted. This study tested the model's key hypotheses in real-world environments using ecological momentary assessment (EMA). Fifty-two outpatients with SZ and 55 healthy controls (CN) completed 6 days of EMA. Multilevel models examined concurrent and time-lagged associations between DPB and negative symptoms in daily life. SZ displayed greater DPB in daily life than CN. Furthermore, greater DPB were associated with greater concurrently assessed negative symptoms (anhedonia, avolition, and asociality) in daily life. Time-lagged analyses indicated that in both groups, greater DPB at time t led to elevations in negative symptoms (anhedonia, avolition, or asociality) at t + 1 above and beyond the effects of negative symptoms at time t. Results support the ecological validity of the Cognitive Model of Negative Symptoms and identify a temporally specific association between DPB and subsequent negative symptoms that is consistent with the model's hypotheses and a putative mechanistic pathway in Cognitive Behavioral Therapy for negative symptoms. Findings suggest that DPB are a psychological factor contributing to negative symptoms in real-world environments. Implications for measuring DPB in daily life and providing just-in-time mobile health-based interventions to target this mechanism are discussed.