Nomenclature of the symptoms of head and neck cancer: a systematic scoping review.

Introduction: Evolution of a patient-reported symptom-based risk stratification system to redesign the suspected head and neck cancer (HNC) referral pathway (EVEREST-HN) will use a broad and open approach to the nomenclature and symptomatology. It aims to capture and utilise the patient reported symptoms in a modern way to identify patients' clinical problems more effectively and risk stratify the patient. Method: The review followed the PRISMA checklist for scoping reviews. A search strategy was carried out using Medline, Embase and Web of Science between January 1st 2012 and October 31st 2023. All titles, abstracts and full paper were screened for eligibility, papers were assessed for inclusion using predetermined criteria. Data was extracted pertaining to the aims, type of study, cancer type, numbers of patients included and symptoms, presenting complaints or signs and symptoms. Results: There were 9,331 publications identified in the searches, following title screening 350 abstracts were reviewed for inclusion and 120 were considered for eligibility for the review. 48 publications met the eligibility criteria and were included in the final review. Data from almost 11,000 HNC patients was included. Twenty-one of the publications were from the UK, most were retrospective examination of patient records. Data was extracted and charted according to the anatomical area of the head and neck where the symptoms are subjectively and objectively found, and presented according to lay terms for symptoms, clinical terms for symptoms and the language of objective clinical findings. Discussion: Symptoms of HNC are common presenting complaints, interpreting these along with clinical history, examination and risk factors will inform a clinician's decision to refer as suspected cancer. UK Head and Neck specialists believe a different way of triaging the referrals is needed to assess the clinical risk of an undiagnosed HNC. EVEREST-HN aims to achieve this using the patient history of their symptoms. This review has highlighted issues in terms of what is considered a symptom, a presenting complaint and a clinical finding or sign.

Post-orgasmic Illness Syndrome: A Case Report.

Post-orgasmic illness syndrome (POIS) is a rare condition characterized by debilitating symptoms following ejaculation. We present a case of a 25-year-old male with flu-like symptoms post-ejaculation since age 17. Despite minimal relief from conventional treatments, a comprehensive evaluation led to the diagnosis of POIS and successful management with niacinamide therapy. The presentation of flu-like symptoms following ejaculation in this case raises several questions regarding the underlying pathophysiology. While the exact cause of his symptoms remains elusive, the resolution achieved with niacinamide therapy underscores the importance of considering alternative treatment modalities in complex cases. The role of varicocele in symptom manifestation, if any, also warrants consideration, as varicocele has been associated with male infertility and testicular dysfunction.

Assessing Substance Use Disorder Symptoms with a Checklist among Primary Care Patients with Opioid Use Disorder and/or Long-Term Opioid Treatment: An Observational Study.

BACKGROUND: Primary care (PC) offers an opportunity to treat opioid use disorders (OUD). The Substance Use Symptom Checklist ("Checklist") can assess DSM-5 substance use disorder (SUD) symptoms in PC. OBJECTIVE: To test the psychometric properties of the Checklist among PC patients with OUD or long-term opioid therapy (LTOT) in Kaiser Permanente Washington (KPWA). DESIGN: Observational study using item response theory (IRT) and differential item functioning (DIF) analyses of measurement consistency across age, sex, race and ethnicity, and receipt of treatment. PATIENTS: Electronic health records (EHR) data were extracted for all adult PC patients visiting KPWA 3/1/15-8/30/2020 who had ≥ 1 Checklist documented and indication of either (a) clinically-recognized OUD (i.e., documented OUD diagnosis and/or OUD medication treatment) or (b) LTOT in the year prior to the checklist. MAIN MEASURE: The Checklist includes 11 items reflecting DSM-5 criteria for SUD. We described the prevalence of 2 SUD symptoms reported on the Checklist (consistent with mild-severe DSM-5 SUD). Analyses were conducted in the overall sample and in two subsamples (clinically-recognized OUD and LTOT only). KEY RESULTS: Among 2007 eligible patients, 39.9% endorsed ≥ 2 SUD symptoms (74.3% in the clinically-recognized OUD subsample and 13.1% in LTOT subsample). IRT indicated that a unidimensional model for the 11 checklist items had excellent fit (comparative fit index = 0.998) with high item-level discrimination parameters for the overall sample and both subsamples. DIF across age, race and ethnicity, and treatment was observed for one item each, but had minimal impact on expected number of criteria (0-11) patients endorse. CONCLUSIONS: The Substance Use Symptom Checklist measured SUD symptoms consistent with DSM-5 conceptualization (scaled, unidimensional) in patients with clinically-recognized OUD and LTOT and had similar measurement properties across demographic subgroups. The Checklist may support symptom assessment in patients with OUD and diagnosis in patients with LTOT.

Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson's disease.

OBJECTIVES: To clarify the association between a radiomics score (Rad-score) derived from T1-weighted signal intensity to T2-weighted signal intensity (T1-w/T2-w) ratio images and the progression of motor symptoms in Parkinson's disease (PD). MATERIALS AND METHODS: This retrospective study included patients with PD enrolled in the Parkinson's Progression Markers Initiative. The Movement Disorders Society-Unified Parkinson's Disease Rating Scale Part III score ≥ 33 and/or Hoehn and Yahr stage ≥ 3 indicated motor function decline. The Rad-score was constructed using radiomics features extracted from T1-w/T2-w ratio images. The Kaplan-Meier analysis and Cox regression analyses were used to assess the time differences in motor function decline between the high and low Rad-score groups. RESULTS: A total of 171 patients with PD were divided into training (n = 101, mean age at baseline, 61.6 ± 9.3 years) and testing (n = 70, mean age at baseline, 61.6 ± 10 years). The patients in the high Rad-score group had a shorter time to motor function decline than those in the low Rad-score group in the training dataset (log-rank test, p < 0.001) and testing dataset (log-rank test, p < 0.001). The multivariate Cox regression using the Rad-score and clinical factors revealed a significant association between the Rad-score and motor function decline in the training dataset (HR = 2.368, 95%CI:1.423-3.943, p < 0.001) and testing dataset (HR = 2.931, 95%CI:1.472-5.837, p = 0.002). CONCLUSION: Rad-scores based on radiomics features derived from T1-w/T2-w ratio images were associated with the progression of motor symptoms in PD. CLINICAL RELEVANCE STATEMENT: The radiomics score derived from the T1-weighted/T2-weighted ratio images offers a predictive tool for assessing the progression of motor symptom in patients with PD. KEY POINTS: Radiomics score derived from T1-weighted/T2-weighted ratio images is correlated with the motor symptoms of Parkinson's disease. A high radiomics score correlated with faster motor function decline in patients with Parkinson's disease. The proposed radiomics score offers predictive insight into the progression of motor symptoms of Parkinson's disease.

Contemporaneous Symptom Networks of Breast Cancer-Related Upper Limb Lymphedema: A Network Analysis.

BACKGROUND: Upper limb lymphedema (ULL) is a common and deliberating complication for breast cancer survivors (BCSs). Breast cancer survivors with ULL reported a wide range of symptoms. However, little is known about symptom patterns and interrelationships among them. This study was designed to explore symptom clusters and construct symptom networks of ULL-related symptoms among BCSs and to identify the core symptoms. METHODS: This study is a secondary data analysis using datasets from three cross-sectional studies of BCSs in China. A total of 341 participants with maximum interlimb circumference ≥2 cm and complete responses in Part I of the Breast Cancer and Lymphedema Symptom Experience Index were included. Symptom clusters were identified through principal component analysis, and multiple linear regression analysis was employed to explore factors associated with severity of overall ULL-related symptoms. A contemporaneous network with 20 frequently reported symptoms were constructed after controlling for covariates. RESULTS: Three symptom clusters, including lymph stasis symptom cluster, nerve symptom cluster, and movement limitation symptom cluster, were identified. Postsurgery time, axillary lymph node dissection, and radiotherapy were associated with the severity of ULL-related symptoms. Tightness (rs = 1.379; rscov = 1.097), tingling (rs = 1.264; rscov = 0.925), and firmness (rs = 1.170; rscov = 0.923) were the most central symptoms in both networks with and without covariates. CONCLUSIONS: Breast cancer survivors with ULL experienced severe symptom burden. Tightness, tingling, and firmness were core symptoms of ULL among BCSs. Our findings demonstrated that the assessment and targeted intervention of specific core symptoms might help to relive effectively the burden of ULL-related symptom among BCSs.

Enteroviruses Associated with Hand Foot and Mouth Disease in Navi Mumbai, Maharashtra, India in 2022.

An outbreak of Hand Foot and Mouth Disease (HFMD) which occurred in August-September, 2022 in Navi Mumbai, India was prospectively investigated, to delineate the clinical manifestations and identify the etiological agent. Molecular characterization at ICMR-National Institute of Virology (NIV), Mumbai unit reported 69 (88.5%) cases out of 78 clinically diagnosed HFMD cases positive for enteroviruses. Thirty-nine (56.5%) children were positive for CVA6, 11 (15.9%) for CVA16, and one for CVA4 (1.4%). One case of co-infection (CVA16, CVA6) was reported. Fourteen (17.9%) cases had recurrent disease in the same season. CVA6 was associated with unusual extension of the rash beyond the conventional areas of hands, feet, and mouth, with involvement of body areas including face, axillae and trunk. Whole genome sequencing classified CVA6 as group D3 and CVA16 isolates as group B1c. Co-infection and recurrence of disease with atypical symptoms observed in this study highlight the need for continued vigilance of the evolutionary clinical characteristics of the enteroviruses causing HFMD.

Impact of symptom duration and mechanical circulatory support on prognosis in cardiogenic shock complicating acute myocardial infarction.

BACKGROUND: Mortality rates in patients with cardiogenic shock complicating acute myocardial infarction (AMICS) remain high despite advancements in AMI care. Our study aimed to investigate the impact of prehospital symptom duration on the prognosis of AMICS patients and those receiving mechanical circulatory support (MCS). METHODS AND RESULTS: We conducted a retrospective cohort study with data registered in the Netherlands Heart Registration. A total of 1,363 patients with AMICS who underwent percutaneous coronary intervention between 2017 and 2021 were included. Patients presenting after out-of-hospital cardiac arrest were excluded. Most patients were male (68%), with a median age of 69 years (IQR 61-77), predominantly presenting with ST-elevation myocardial infarction (86%). The overall 30-day mortality was 32%. Longer prehospital symptom duration was associated with a higher 30-day mortality with the following rates: < 3 h, 26%; 3-6 h, 29%; 6-24 h, 36%; ≥ 24 h, 46%; p < 0.001. In a subpopulation of AMICS patients with MCS (n = 332, 24%), symptom duration of > 24 h was associated with significantly higher mortality compared to symptom duration of < 24 h (59% vs 45%, p = 0.029). Multivariate analysis identified > 24 h symptom duration, age and in-hospital cardiac arrest as predictors of 30-day mortality in MCS patients. CONCLUSION: Prolonged prehospital symptom duration was associated with significantly increased 30-day mortality in patients presenting with AMICS. In AMICS patients treated with MCS, a symptom duration of > 24 h was an independent predictor of poor survival. These results emphasise the critical role of early recognition and intervention in the prognosis of AMICS patients.

Deep abdominal breathing reduces heart rate and symptoms during orthostatic challenge in patients with postural orthostatic tachycardia syndrome.

BACKGROUND AND PURPOSE: This study investigated the effects of deep abdominal breathing on cardiovascular parameters and symptoms in patients with postural orthostatic tachycardia syndrome (POTS) during head-up tilt-table (HUT) challenge. METHODS: Thirty POTS patients completed two consecutive rounds of 10-min HUT in a crossover design. One round was HUT without intervention, and one round combined the HUT with deep breathing at a rate of 6 breaths/min. Cardiovascular parameters, including mean blood pressure and maximum and mean heart rate (HR), were measured supine and standing. Symptoms were assessed using the Vanderbilt Orthostatic Symptom Score (VOSS). RESULTS: During the breathing technique, the mean HR increase was -7.35 bpm (95% confidence interval [CI] = -11.71 to -2.98), and the maximum HR increase was -6.27 bpm (95% CI = -11.85 to -0.68, p = 0.041), significantly lower compared to normal breathing. Additionally, improvements were observed in all absolute cardiovascular parameters during standing, with VOSS symptoms simultaneously and significantly decreasing by -5.38 (95% CI = -10.43 to -0.36). CONCLUSIONS: Slow deep abdominal breathing can act as a simple technique to reduce the standing HR increase upon HUT in patients with POTS. This suggests that modulation of the cardiopulmonary neurocircuits and the respiratory pump may reduce HR increase and symptoms in patients with POTS. The findings of this study highlight the use of a safe, zero-cost, and simple behavioral tool to suggest to POTS patients for symptom relief apart from standard treatment. The observed improvements in cardiovascular parameters and symptoms offer a promising therapeutic approach for patients in times of inadequate treatment options.

Sport-related concussions in baseball and softball: do mechanisms of injury affect recovery?

OBJECTIVE: Baseball and softball pose unique risks for sport-related concussion (SRC). Although these are not collision sports, concussions in baseball and softball can nonetheless involve high-speed impacts. In a regional, single-institution cohort of baseball and softball athletes who sustained an SRC, the current study sought to 1) describe the mechanisms of injury that led to SRC, and 2) compare initial symptom burden and recovery metrics across mechanisms, including time to return to learn (RTL), time to symptom resolution, and time to return to play (RTP) by mechanism of injury. METHODS: A retrospective cohort study was performed of baseball and softball athletes 12 to 23 years old who sustained an SRC between November 2017 and April 2022. Mechanisms of injury were divided into two categories: 1) contact mechanism (i.e., what initiated contact with the injured player, such as head-to-ball), and 2) player mechanism (i.e., the action the injured player was performing at the time of injury, such as fielding). The recovery outcomes of time to RTL, symptom resolution, and RTP were compared between mechanisms using bivariate analysis and multivariable regression analysis, controlling for sex, age, time to present to concussion clinic, and initial total symptom score. RESULTS: The sample included 58 baseball and softball players (60.3% female, mean age 16.0 ± 1.9 years). Most SRCs (62.1%) occurred during competition. Head-to-ball (50.0%) was the most common contact mechanism, followed by head-to-head/body (31.0%) and head-to-wall/ground/equipment (17.2%). Fielding (63.8%) was the most common player mechanism, followed by drills (20.7%) and running (13.8%). SRCs sustained in practice had significantly longer RTL (median 10.0 [interquartile range (IQR) 3.3-16.3] vs 4.0 [IQR 2.0-8.0] days; U = 421.5, p = 0.031) and symptom resolution (37.0 [IQR 18.0-90.0] vs 14.0 [IQR 7.0-41.0] days; U = 406.5, p = 0.025) compared with SRCs sustained in competition. Multivariable regression analysis revealed that head-to-wall/ground/equipment contact mechanism was associated with longer RTL (ß = 0.30, 95% CI 0.07-0.54, p = 0.013). CONCLUSIONS: The current study found that SRCs in baseball and softball occurred more often in competition than in practice. Head-to-ball and fielding were the most common contact and player mechanisms, respectively. SRCs sustained in practice were associated with longer time to RTL and symptom resolution, and head-to-wall/ground/equipment was associated with longer RTL in multivariable regression analysis. These results provide empirical data to improve concussion safety in baseball/softball.

Acute psychological symptom profiles in high school athletes following sport-related concussion.

OBJECTIVE: Psychological symptoms following a sport-related concussion may affect recovery in adolescent athletes. Therefore, the aims of this study were to 1) describe the proportion of athletes with acute psychological symptoms, 2) identify potential predictors of higher initial psychological symptoms, and 3) determine whether psychological symptoms affect recovery in a cohort of concussed high school athletes. METHODS: A retrospective cohort study of high school athletes (14-18 years of age) who sustained a sport-related concussion from November 2017 to April 2022 and presented to a multidisciplinary concussion center was performed. The main independent variable was psychological symptom cluster score, calculated by summing the four affective symptoms on the initial Post-Concussion Symptom Scale (PCSS) (i.e., irritability, sadness, nervousness, feeling more emotional). The psychological symptom ratio was defined as the ratio of the psychological symptom cluster score divided by the total initial PCSS score. The outcomes included time to return to learn (RTL), symptom resolution, and time to return to play (RTP). Univariable and multivariable regressions were performed to adjust for demographic factors and health history. RESULTS: A total of 431 athletes (58.0% female, mean age 16.2 ± 1.3 years) were included. Nearly half of the sample (45%) reported at least one psychological symptom, with a mean psychological symptom cluster score of 4.2 ± 5.2 and psychological symptom cluster ratio of 0.10 ± 0.11. Irritability was the most commonly endorsed psychological symptom (38.1%), followed by feeling more emotional (30.2%), nervousness (25.3%), and sadness (22.0%). Multivariable regression showed that female sex (B = 2.15, 95% CI 0.91-3.39; p < 0.001), loss of consciousness (B = 1.91, 95% CI 0.11-3.72; p = 0.037), retrograde/anterograde amnesia (B = 1.66, 95% CI 0.20-3.11; p = 0.026), and psychological history (B = 2.96, 95% CI 1.25-4.70; p < 0.001) predicted an increased psychological symptom cluster score. Female sex (B = 0.03, 95% CI 0.00-0.06; p = 0.031) and psychological history (B = 0.06, 95% CI 0.02-0.10; p = 0.002) predicted an increased psychological symptom ratio. Multivariable linear regression showed that both higher psychological symptom cluster score and ratio were associated with longer times to RTL, symptom resolution, and RTP. CONCLUSIONS: In a cohort of high school athletes, 45% reported at least one psychological symptom, with irritability being most common. Female sex, loss of consciousness, amnesia, and a psychological history were significantly associated with an increased psychological symptom cluster score. Higher psychological symptom cluster score and psychological symptom ratio independently predicted longer recovery. These results reinforce the notion that psychological symptoms after concussion are common and may negatively impact recovery.

Elucidating differences in concussion subtype symptomatology in sports-related versus non-sports-related concussions: a retrospective cohort study.

OBJECTIVE: Postconcussive symptom questionnaires (PCSQs) are often used in concussion patient assessment, yet there is a lack of knowledge as to whether symptom subtype prevalence is dependent on the mechanism of injury (MOI). These subtypes can be defined as cognitive, atlanto-occipital/cervical spine, autonomic, balance, low energy/fatigue/sleep, emotional changes, eyes, and somatic. Using an institutional PCSQ that quantitatively addressed these subtypes, this retrospective study aimed to provide insight into differences in subtype symptomatology between sports-related (SR) and non-sports-related (NSR) injuries. METHODS: Consecutive concussion patients with Glasgow Coma Scale (GCS) score ≥ 13 and ≥ 16 years of age who were treated at a concussion clinic affiliated with an academic level I trauma center in the United States between December 2009 and January 2020 were eligible for inclusion. The authors extracted data on MOI, comorbidities, habits, prior injuries, and PCSQ results. Multivariate analysis of covariance was then conducted to determine the correlations between subtype scores and MOI while considering covariates. RESULTS: Of the 194 patients remaining after applying inclusion and exclusion criteria, analysis included 91 patients in the SR group consisting of 54 (59%) males with mean ± SD (range) age of 20.9 ± 7.3 (16-58) years and 103 patients in the NSR group consisting of 38 (37%) males with mean age of 39.2 ± 14.8 (17-71) years. Demographic characteristics differed significantly between groups. Estimated marginal mean scores were significantly lower in the SR injury group compared to the NSR injury group (with comparing main effects) for the cognitive (p < 0.001), autonomic (p < 0.000), balance (p < 0.025), energy (p < 0.006), emotional (p < 0.000), and total score (p < 0.001) subtypes. Multivariate tests identified three comorbidities that contributed to differences in subtype scores between groups: migraines (p < 0.012), vertigo (p < 0.004), and anxiety (p < 0.038). No significant results were found for the remaining comorbidities of (but not limited to) depression, neuropsychiatric disorders, seizures, syncope, sleep disorder, or none. CONCLUSIONS: The findings indicate that patients who sustain a concussion via an NSR injury present with more severe symptoms but similar concussion subtype frequency as those presenting with SR concussion. This suggests that the MOI may correlate more closely to symptom severity than concussion subtype composition, although larger patient populations with more definitive control of MOI are needed to further elucidate these claims.

Decoding Wilson disease: a machine learning approach to predict neurological symptoms.

Objectives: Wilson disease (WD) is a rare autosomal recessive disorder caused by a mutation in the ATP7B gene. Neurological symptoms are one of the most common symptoms of WD. This study aims to construct a model that can predict the occurrence of neurological symptoms by combining clinical multidimensional indicators with machine learning methods. Methods: The study population consisted of WD patients who received treatment at the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from July 2021 to September 2023 and had a Leipzig score ≥ 4 points. Indicators such as general clinical information, imaging, blood and urine tests, and clinical scale measurements were collected from patients, and machine learning methods were employed to construct a prediction model for neurological symptoms. Additionally, the SHAP method was utilized to analyze clinical information to determine which indicators are associated with neurological symptoms. Results: In this study, 185 patients with WD (of whom 163 had neurological symptoms) were analyzed. It was found that using the eXtreme Gradient Boosting (XGB) to predict achieved good performance, with an MCC value of 0.556, ACC value of 0.929, AUROC value of 0.835, and AUPRC value of 0.975. Brainstem damage, blood creatinine (Cr), age, indirect bilirubin (IBIL), and ceruloplasmin (CP) were the top five important predictors. Meanwhile, the presence of brainstem damage and the higher the values of Cr, Age, and IBIL, the more likely neurological symptoms were to occur, while the lower the CP value, the more likely neurological symptoms were to occur. Conclusions: To sum up, the prediction model constructed using machine learning methods to predict WD cirrhosis has high accuracy. The most important indicators in the prediction model were brainstem damage, Cr, age, IBIL, and CP. It provides assistance for clinical decision-making.

Network analysis of the urban-rural differences in depressive symptoms among older adults with multiple chronic conditions: Evidence from a national survey.

BACKGROUND: Evidence on the differences in depressive symptoms among older adults with multiple chronic conditions (MCCs) in urban and rural areas is limited. METHODS: Measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale-10) and demographic factors (age, gender, and urban-rural distribution) were used. RESULTS: A total of 4021 older adults with MCCs were included in this study. Significant differences were observed in both network global strength (Urban: 3.989 vs. Rural: 3.703, S = 0.286, p = 0.003) and network structure (M = 0.139, p = 0.002) between urban and rural residents. CONCLUSIONS: The study highlights the need for region-specific approaches to understanding and addressing depression and holds the potential to enhance understanding of the psychological health status of older adults with MCCs in urban and rural settings.

Agreement between patient-reported and clinically documented symptoms of acute myeloid leukemia: Study protocol.

AIM: To describe our methods to compare patient-reported symptoms of acute myeloid leukemia and the corresponding documentation by healthcare providers in the electronic health record. BACKGROUND: Patients with acute myeloid leukemia experience many distressing symptoms, particularly related to chemotherapy. The timely recognition and provision of evidence-based interventions to manage these symptoms can improve outcomes. However, lack of standardized formatting for symptom documentation within electronic health records leads to challenges for clinicians when accessing and comprehending patients' symptom information, as it primarily exists in narrative forms in various parts of the electronic health record. This variability raises concerns about over- or under-reporting of symptoms. Consistency between patient-reported symptoms and clinician's symptom documentation is important for patient-centered symptom management, but little is known about the degree of agreement between patient reports and their documentation. This is a detailed description of the study's methodology, procedures and design to determine how patient-reported symptoms are similar or different from symptoms documented in electronic health records by clinicians. DESIGN: Exploratory, descriptive study. METHODS: Forty symptoms will be assessed as patient-reported outcomes using the modified version of the Memorial Symptom Assessment Scale. The research team will annotate symptoms from the electronic health record (clinical notes and flowsheets) corresponding to the 40 symptoms. The degree of agreement between patient reports and electronic health record documentation will be analyzed using positive and negative agreement, kappa statistics and McNemar's test. CONCLUSION: We present innovative methods to comprehensively compare the symptoms reported by acute myeloid leukemia patients with all available electronic health record documentation, including clinical notes and flowsheets, providing insights into symptom reporting in clinical practice. IMPACT: Findings from this study will provide foundational understanding and compelling evidence, suggesting the need for more thorough efforts to assess patients' symptoms. Methods presented in this paper are applicable to other symptom-intensive diseases.

Predicting symptom severity in PSTVd-infected tomato plants using the PSTVd genome sequence.

Viroids, one of the smallest known infectious agents, induce symptoms of varying severity, ranging from latent to severe, based on the combination of viroid isolates and host plant species. Because viroids are transmissible between plant species, asymptomatic viroid-infected plants may serve as latent sources of infection for other species that could exhibit severe symptoms, occasionally leading to agricultural and economic losses. Therefore, predicting the symptoms induced by viroids in host plants without biological experiments could remarkably enhance control measures against viroid damage. Here, we developed an algorithm using unsupervised machine learning to predict the severity of disease symptoms caused by viroids (e.g., potato spindle tuber viroid; PSTVd) in host plants (e.g., tomato). This algorithm, mimicking the RNA silencing mechanism thought to be linked to viroid pathogenicity, requires only the genome sequences of the viroids and host plants. It involves three steps: alignment of synthetic short sequences of the viroids to the host plant genome, calculation of the alignment coverage, and clustering of the viroids based on coverage using UMAP and DBSCAN. Validation through inoculation experiments confirmed the effectiveness of the algorithm in predicting the severity of disease symptoms induced by viroids. As the algorithm only requires the genome sequence data, it may be applied to any viroid and plant combination. These findings underscore a correlation between viroid pathogenicity and the genome sequences of viroid isolates and host plants, potentially aiding in the prevention of viroid outbreaks and the breeding of viroid-resistant crops.

A systematic review and meta-analysis assessing the efficacy of Tuina for nocturnal enuresis in children.

Background: Desmopressin acetate (DDAVP) and behavioral interventions (BI) are cornerstone treatments for nocturnal enuresis (NE), a common pediatric urinary disorder. Despite the growing body of clinical studies on massage therapy for NE, comprehensive evaluations comparing the effectiveness of Tuina with DDAVP or BI are scarce. This study aims to explore the efficacy of Tuina in the management of NE. Methods: A systematic search of international databases was conducted using keywords pertinent to Tuina and NE. The inclusion criteria were limited to randomized controlled trials (RCTs) that evaluated NE treatments utilizing Tuina against DDAVP or BI. This meta-analysis included nine RCTs, comprising a total of 685 children, to assess both complete and partial response rates. Results: Tuina, used as a combination therapy, showed enhanced clinical efficacy and improved long-term outcomes relative to the control group. The therapeutic efficacy of Tuina was not directly associated with the number of acupoints used. Instead, employing between 11 and 20 acupoints appeared to have the most significant effect. Conclusion: The findings of this meta-analysis support the potential of Tuina as an adjunct therapy to enhance the sustained clinical efficacy of traditional treatments for NE. However, Tuina cannot completely replace DDAVP or BI in the management of NE. While this study illuminates some aspects of the effective acupoint combinations, further research is crucial to fully understand how Tuina acupoints contribute to the treatment of NE in children. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=442644, identifier CRD42023442644.

Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation.

BACKGROUND: Identifying individuals with depressive symptomatology (DS) promptly and effectively is of paramount importance for providing timely treatment. Machine learning models have shown promise in this area; however, studies often fall short in demonstrating the practical benefits of using these models and fail to provide tangible real-world applications. OBJECTIVE: This study aims to establish a novel methodology for identifying individuals likely to exhibit DS, identify the most influential features in a more explainable way via probabilistic measures, and propose tools that can be used in real-world applications. METHODS: The study used 3 data sets: PROACTIVE, the Brazilian National Health Survey (Pesquisa Nacional de Saúde [PNS]) 2013, and PNS 2019, comprising sociodemographic and health-related features. A Bayesian network was used for feature selection. Selected features were then used to train machine learning models to predict DS, operationalized as a score of ≥10 on the 9-item Patient Health Questionnaire. The study also analyzed the impact of varying sensitivity rates on the reduction of screening interviews compared to a random approach. RESULTS: The methodology allows the users to make an informed trade-off among sensitivity, specificity, and a reduction in the number of interviews. At the thresholds of 0.444, 0.412, and 0.472, determined by maximizing the Youden index, the models achieved sensitivities of 0.717, 0.741, and 0.718, and specificities of 0.644, 0.737, and 0.766 for PROACTIVE, PNS 2013, and PNS 2019, respectively. The area under the receiver operating characteristic curve was 0.736, 0.801, and 0.809 for these 3 data sets, respectively. For the PROACTIVE data set, the most influential features identified were postural balance, shortness of breath, and how old people feel they are. In the PNS 2013 data set, the features were the ability to do usual activities, chest pain, sleep problems, and chronic back problems. The PNS 2019 data set shared 3 of the most influential features with the PNS 2013 data set. However, the difference was the replacement of chronic back problems with verbal abuse. It is important to note that the features contained in the PNS data sets differ from those found in the PROACTIVE data set. An empirical analysis demonstrated that using the proposed model led to a potential reduction in screening interviews of up to 52% while maintaining a sensitivity of 0.80. CONCLUSIONS: This study developed a novel methodology for identifying individuals with DS, demonstrating the utility of using Bayesian networks to identify the most significant features. Moreover, this approach has the potential to substantially reduce the number of screening interviews while maintaining high sensitivity, thereby facilitating improved early identification and intervention strategies for individuals experiencing DS.

Systematic evaluation and meta-analysis of Flunarizine Hydrochloride combined with traditional Chinese medicine decoction in the treatment of migraine headaches.

OBJECTIVES: To systematically evaluate the efficacy and superiority of Flunarizine Hydrochloride when combined with Traditional Chinese Medicine (TCM) Decoctions in treating migraine headaches. METHOD: The authors conducted a comprehensive search for clinical Randomized Controlled Trials (RCTs) investigating the combination of Flunarizine Hydrochloride with Chinese herbal decoctions in treating migraines. The databases searched included CNKI, VIP, Wanfang, PubMed, WOI, Cochrane Library, and Embase, covering the period from January 1, 2019, to November 10, 2023. Two independent researchers meticulously screened, extracted, and assessed the relevant data, employing the Revman 5.3 software for meta-analysis. RESULTS: The meta-analysis revealed that, in comparison to Flunarizine Hydrochloride used in isolation, the combination with Chinese herbal decoctions markedly enhanced the effective rate (RR = 1.26, 95 % CI [1.18, 1.34], p < 0.0001). Moreover, significant improvements were observed in the TCM symptom score (MD = 4.97, 95 % CI [-6.74, -3.19], p < 0.00001). The observation group demonstrated a statistically significant improvement in endothelin levels compared to the control group (I2 = 85 %, MD = -13.66, 95 % CI [-17.87, -9.45], p = 0.0001). The observation group showed a significant reduction in NRS scores compared to the control group, indicating better outcomes (I2 = 95 %, MD = -2.11, 95 % CI [-3.09, -1.12], p < 0.0001). The observation group was superior to the control group in terms of the reduction in the number of episodes (I2 = 63 %, MD = -1.16, 95 % CI [-1.45, -0.87], p = 0.007). CONCLUSIONS: The confluence of Flunarizine Hydrochloride with traditional Chinese medicine decoctions in treating migraine patients demonstrated substantial clinical efficacy and improvement in TCM symptom score over the use of Flunarizine Hydrochloride alone.

Is an accurate self-perceived health risk beneficial for patients to minimize prehospital delay time at onset of a ST-segment elevated myocardial infarction (STEMI)?

High risk perception (HRP) is fundamental for adequate health behavior. However, its impact on rapid access to cardiac care after the onset of acute myocardial infarction (AMI) is not known. Conflicting evidence exists about sources that promote HRP. Data on sociodemographic and clinical characteristics of 588 AMI patients who participated in the Munich Examination of Delay in Patients Experiencing Acute Myocardial Infarction (MEDEA) study were collected at the bedside. Adjusted multivariate logistic regression models identified factors associated with HRP. Only 13.4% (n = 79) of patients had a favorable HRP level. The HRP patients did not differ from those with low risk perception (LRP) in terms of sex, age, other sociodemographic features, and somatic risk factors. Among the univariate contributors to HRP were prodromal chest pain (p = 0.0004), symptom mismatch during AMI (p < 0.0001), depression (p = 0.01), and anxiety (p = 0.005). However, family history of AMI, a previous AMI, and knowledge of AMI remained significant in the multivariate regression model. Median delay time to reach a hospital-based emergency facility after the onset of AMI was 127 min (interquartile range [IQR]: 83-43, p = 0.02) in HRP patients and 216 min (IQR: 106-721) in LRP patients. An increasing risk perception score was associated with a corresponding stepwise decline in median delay time (p > 0.004). Self-perceived AMI risk is associated in a dose-response relationship with the time needed to reach coronary care emergency facilities. Recurrent AMI, family history of AMI, and sufficient knowledge of MI contribute to risk perception, whereas somatic risk factors do not.