Prospective Sample Research Articles

Prevalence of Type 2 Diabetes Risk in a Higher Education Community of North-Eastern Portugal: a Prospective Cross-sectional Observational Analysis

Objectives: Type 2 diabetes (T2D) is considered one of the most prevalent diseases worldwide. The aim of this study was to analyse the risk of developing T2D in a higher education community of Bragança, North-Eastern Portugal.Methods: The observational, cross-sectional and prospective sample comprised 3021 individuals, aged between 18 and 64 years old, of whom 1759 were women (mean age 24.16 ± 8.80 years) and 1263 were men (mean age 23.37 ± 8.70 years). The Finnish Diabetes Risk Score (FINDRISC) questionnaire was employed to estimate the risk of developing T2D over the next 10 years.Results: The results indicated that approximately 37 (1%) participants in the sample exhibited a high risk of developing T2D, 117 (4%) participants exhibited a moderate risk, 660 (22%) participants exhibited a slight risk, and 2206 (73%) participants exhibited a low risk. A higher T2D risk was observed in the staff group in comparison with the other groups (p < 0.001). Furthermore, body mass index (BMI) and waist circumference (WC) were the variables that most contributed to the increased risk of developing T2D (X2 = 1034.5; p < 0.001).Conclusions: In conclusion, the study reported a low T2D risk for the higher education community of Bragança in the Portuguese North-Eastern region. However, the risk of T2D was found to be higher in the staff group than in the student group. The FINDRISK questionnaire may be applied for the early diagnosis of T2D risk factors.

Cognitive reserve as a modulator of cognitive decline and of behavioral symptoms in patients with amyotrophic lateral sclerosis

Introduction: Amyotrophic lateral sclerosis (ALS) has heterogeneous manifestations ranging from motor neuron degeneration to cognitive and behavioral impairment. This study aims to clarify the interactions between cognition and behavioral symptoms with relevant disease predictors and with cognitive reserve (CR), quantified through education, physical activity, and occupation proxies. Methods: A prospective sample of 162 ALS patients and 61 controls were evaluated with the Edinburgh Cognitive and Behavioral ALS Screen (ECAS) (dependent variable), a Cognitive Reserve Index questionnaire (CRIq) and demographic data (age and sex), and, for patients, clinical variables: disease duration, site of onset, the ALS Functional Rating Scale (ALSFRS), forced vital capacity (FVC), and gene mutation chromosome 9 open reading frame 72 (C9orf72) (independent variables). Multiple regression and mediation analyses were performed to predict cognitive and behavioral symptoms. Results: For the ALS group, the statistical model explained 38.8% of variance in ECAS total (p < 0.001), 59.4% of executive functions (p < 0.001), and 55% of behavioral symptoms (p < 0.001). For controls, it accounted for 52.8% of variance in ECAS total (p < 0.001). Interaction effects and mediation analysis showed CR is an ECAS total modulator, with a differential effect within groups (p < 0.001). Verbal fluency was the single best cognitive score to differentiate patients from controls (p = 0.004), and the gene mutation C9orf72 was found to be a behavioral symptom’ predictor in patients (p = 0.009). Conclusion: This study supports the proposed concept that CR acts as a cognitive modulator in ALS patients and healthy individuals. Moreover, CR also modulates behavioral manifestations in ALS.

External Validation of Two Clinical Prediction Models for Pediatric Pneumonia

ObjectiveTo externally validate two prediction models for pediatric radiographic pneumonia. MethodsWe prospectively evaluated the performance of two prediction models (Pneumonia Risk Score [PRS] and Catalyzing Ambulatory Research in Pneumonia Etiology and Diagnostic Innovations in Emergency Medicine [CARPE DIEM] models) from a prospective convenience sample of children 90 days – 18 years of age from a pediatric emergency department undergoing chest radiography for suspected pneumonia between January 1, 2022, and December 31st, 2023. We evaluated model performance using the original intercepts and coefficients and evaluated for performance changes when performing recalibration and re-estimation procedures. ResultsWe included 202 patients (median age 3 years, IQR 1–6 years), of whom radiographic pneumonia was found in 92 (41.0%). The PRS model had an area under the receiver operator characteristic curve of 0.72 (95% confidence interval [CI] 0.64–0.79), which was higher than the CARPE DIEM (0.59; 95% CI 0.51–0.67) (P < 0.01). Using optimal cutpoints, the PRS model showed higher sensitivity (65.2%, 95% CI 54.6–74.9) and specificity (72.7%, 95% CI 63.4–80.8) compared to the CARPE DIEM model (sensitivity 56.5 [95% CI 45.8–66.8]; specificity 60.9 [95% CI 50.2–69.2]). Recalibration and re-estimation of models improved performance, particularly for the CARPE DIEM model, with gains in sensitivity and specificity, and improved calibration. ConclusionThe PRS model demonstrated better performance than the CARPE DIEM model in predicting radiographic pneumonia. Among children with a high rate of pneumonia, these models did not reach a level of performance sufficient to be used independently of clinical judgment. These findings highlight the need for further validation and improvement of models to enhance their utility.

A bio-behavioral model of systemic inflammation at breast cancer diagnosis and fatigue of clinical importance 2 years later

We aimed to generate a model of cancer-related fatigue (CRF) of clinical importance 2 years after diagnosis of breast cancer building on clinical and behavioral factors and integrating pre-treatment markers of systemic inflammation. Women with stage I-III hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancer were included from the multimodal, prospective CANTO cohort (NCT01993498). The primary outcome was global CRF of clinical importance [European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ)-C30 ≥40/100] 2 years after diagnosis (year 2). Secondary outcomes included physical, emotional, and cognitive CRF (EORTC QLQ-FA12). All pre-treatment candidate variables were assessed at diagnosis, including inflammatory markers [interleukin (IL)-1α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, interferon γ, IL-1 receptor antagonist, tumor necrosis factor-α, and C-reactive protein], and were tested in multivariable logistic regression models implementing multiple imputation and validation by 100-fold bootstrap resampling. Among 1208 patients, 415 (34.4%) reported global CRF of clinical importance at year 2. High pre-treatment levels of IL-6 (quartile 4 versus 1) were associated with global CRF at year 2 [adjusted odds ratio (aOR): 2.06 (95% confidence interval [CI] 1.40-3.03); P= 0.0002; area under the receiver operating characteristic curve= 0.74]. Patients with high pre-treatment IL-6 had unhealthier behaviors, including being frequently either overweight or obese [62.4%; mean body mass index 28.0 (standard deviation 6.3 kg/m2)] and physically inactive (53.5% did not meet World Health Organization recommendations). Clinical and behavioral associations with CRF at year 2 included pre-treatment CRF [aOR versus no pre-treatment CRF: 3.99 (95% CI 2.81-5.66)], younger age [aOR per 1-year decrement: 1.02 (95% CI 1.01-1.03)], current tobacco smoking [aOR versus never: 1.81 (95% CI 1.26-2.58)], and worse insomnia or pain [aOR per 10-unit increment: 1.08 (95% CI 1.04-1.13), and 1.12 (95% CI 1.04-1.21), respectively]. Secondary analyses indicated additional associations of IL-2 [aOR per log-unit increment: 1.32 (95% CI 1.03-1.70)] and IL-10 [0.73 (95% CI 0.57-0.93)] with global CRF and of C-reactive protein [1.42 (95% CI 1.13-1.78)] with cognitive CRF at year 2. Emotional distress was consistently associated with physical, emotional, and cognitive CRF. This study proposes a bio-behavioral framework linking pre-treatment systemic inflammation with CRF of clinical importance 2 years later among a large prospective sample of survivors of breast cancer.

Long-Term Neurodevelopmental Outcome of Children With Mild Traumatic Brain Injury

BackgroundTo investigate the long-term outcome of pediatric mild traumatic brain injury (mTBI) in terms of neurocognitive, behavioral, and school functioning and to identify clinical risk factors for adverse outcomes. MethodsThis study describes the follow-up of a prospective multicenter sample of 89 children with mTBI 3.6 years postinjury and 89 neurologically healthy children matched for sex, age, and socioeconomic status. Neurodevelopmental outcomes were assessed using an intelligence test, behavioral questionnaires, computerized neurocognitive tests, and longitudinal (pre- and postinjury) standardized school performance data. ResultsChildren with mTBI exhibited intelligence in the average range but had more behavioral problems related to inattentiveness (P = 0.004, d = 0.47) and hyperactive impulsivity (P = 0.01, d = 0.40) and showed poorer neurocognitive performance in information processing stability (P = 0.003, d = −0.55) and Visual Working Memory (P = 0.04, d = −0.39) compared with matched peers. Longitudinal school performance data revealed poorer performance in Technical Reading up to two years postinjury (P = 0.005, d = −0.42) when compared with normative data. Clinical risk factors did not reveal predictive value for adverse outcomes in children with mTBI. ConclusionsThis study indicates that children with mTBI are at risk of long-term deficits in neurocognitive and behavioral functioning, with longitudinal evidence suggesting shortfalls in school performance up to two years postinjury. Clinical risk factors do not provide a solid basis for long-term neurodevelopmental prognosis. Findings emphasize the importance of, and challenges for, early identification of children at risk for adverse neurodevelopmental outcome after mTBI.

Distribution of non-thyroid neck swellings and their clinicopathological correlation.

Neck swellings are frequently found and can present the vast pathological spectrum from simple benign to highly malignant, which sometimes can pose a diagnostic dilemma. They are broadly classified as developmental, inflammatory, and neoplastic on the basis of etiology. The aim of the study is to assess the distribution of neck swelling according to etiology and its relation to age groups, as well as to assess their clinicopathological correlation as benign and malignant. The study was conducted from January 2020 to February 2023 on the basis of retrospective and prospective sampling. All the patients with neck swellings, except thyroid, who had undergone an excisional or incisional biopsy, were included in this study. Data was collected from in-patient records for retrospective sampling, and fine-needle aspiration cytology (FNAC), radiological investigation, and excisional or incisional biopsy were performed for prospective sampling after proper history and examination. Cytological and pathological correlation was analyzed as benign and malignant. Sensitivity and specificity were calculated. (P value <0.001 considered significant). Out of the 74 patients, 16% were categorized as developmental, 31% as inflammatory, and 53% as neoplastic (benign 64%, malignant 36%). The most common cause was an epidermoid cyst (50%) among developmental swellings, reactive lymphadenitis (48%), and tuberculosis (35%) among inflammatory, pleomorphic adenoma among benign neoplasm and metastasis to lymph node among malignant swelling. Malignant lesions mainly occur in the older age group, more than 40 years of age. The overall sensitivity, specificity, and accuracy of FNAC, to differentiate from benign to malignant, is very similar to histopathological examination. Different age groups breed different etiology, so age needs to be the prime demographic factor to be established. Pediatric and younger generations of neck swelling are usually inflammatory and developmental, in contrast to the older category, in which malignancy is far more prevalent, hence demanding more caution in evaluation. FNAC is a diagnostic tool that has become highly sensitive for malignant lesions; though in no sense can it replace histopathology, it can still be valuable in diagnostic and screening dilemmas of neck swelling.

HIV-1 genotypic resistance testing using single molecule real-time sequencing

BackgroundHIV-1 resistance testing is recommended in clinical management and next-generation sequencing (NGS) methods are now available in many virology laboratories. ObjectivesTo evaluate the diagnostic performance of Long-Read Single Molecule Real-time (SMRT) sequencing (Sequel, PacBio) for HIV-1 polymerase genotyping. Study design111 prospective clinical samples (83 plasma and 28 leukocyte-enriched blood fraction) were analyzed for routine HIV-1 resistance genotyping using Sanger sequencing, Vela NGS, and SMRT sequencing. We developed a SMRT sequencing protocol and a bio-informatics pipeline to infer antiretroviral resistance on both haplotype and variant calling approaches. ResultsThe polymerase was successfully sequenced by the three platforms in 98 % of plasma RNA samples for viral loads above 4 log copies/mL. The success rate decreased to 83 % using Sanger or Vela sequencing and to 67 % using SMRT sequencing for viral loads of 3 to 4 log copies/mL. Sensitivities of 50 %, 54 % and 61 % were obtained using SMRT, Vela, and Sanger sequencing, respectively, in cellular DNA from patients with prolonged undetectable plasma HIV-1 RNA. Ninety-eight percent of resistance-associated mutations (RAMs) identified with Sanger sequencing were detected using SMRT sequencing. Furthermore, 91 % of RAMs (> 5 % threshold) identified with Vela NGS were detected using SMRT sequencing. RAM quantification using Vela and SMRT sequencing was well correlated (Spearman correlation ρ = 0.82; P < 0.0001). ConclusionsSMRT sequencing of the full-length HIV-1 polymerase appeared performant for characterizing HIV-1 genotypic resistance on both RNA and DNA clinical samples. Long-read sequencing is a new tool for mutation haplotyping and resistance analysis.

Examining illness perceptions over time: an exploratory prospective analysis of causal attributions in individuals with depressive symptoms

BackgroundAccording to the Common-Sense Model of Illness Representations, illness beliefs, such as causal attributions, can influence the way people assess and cope with their illness and vice versa. To date, causal attributions in people with depressive symptoms have been studied mainly cross-sectionally, quantitatively and independently. The purpose of this study is to examine the causal attributions of people with depressive symptoms in terms of their stability over time, dependence on treatment experience, and differentiation of causal concepts.MethodsIn a population-based prospective sample, people with at least mild depressive symptoms (PHQ-9 Score ≥ 5) were interviewed via telephone at T0 and twelve months later (T1). Causal attributions were assessed using the Brief Illness Perception Questionnaire. After the open responses were qualitatively analysed using a deductive-inductive approach, stability over time was assessed for causal attributions and concepts by comparing answers between the two time points. Subsequent exploratory quantitative analyses were conducted using chi-square tests, t-tests, and logistic regression analyses.ResultsA total of 471 individuals (age M = 53.9, 53.6% female) with a mean PHQ-9 Score of 8.4 were included in the analyses. Causal attributions related to participants’ social environment, workplace, and past are the most stable over time. However, individuals with and without a time-stable causal concept showed no differences in terms of sociodemographic characteristics, severity of depressive symptoms, risk of comorbidity, and treatment experiences. Overall, the causal concepts of people with depressive symptoms appear to be very diverse. Those with treatment experience (M = 2.21, SD = 0.80) named significantly more causal attributions compared to people without treatment experience (M = 1.98, SD = 0.81, t(471) = -3.060, p < 0.01). In addition, logistic regression analyses revealed that treatment-experienced respondents were more likely to attribute “childhood/youth/parental home” and “predisposition”.ConclusionsOur study reveals that people with treatment experience tend to report treatment-congruent causal attributions, such as childhood and family environment, as well as predisposition, more frequently. Understanding how causal attributions and concepts are formed and change can be helpful for addressing causal attributions in treatment. Future studies should take into account the benefits of employing qualitative survey methods for exploring causal attributions.

Accurate Prediction of Three-Dimensional Humanoid Avatars for Anthropometric Modeling.

To evaluate the hypothesis that anthropometric dimensions derived from a person's manifold-regression predicted three-dimensional (3D) humanoid avatar are accurate when compared to their actual circumference, volume, and surface area measurements acquired with a ground-truth 3D optical imaging method. Avatars predicted using this approach, if accurate with respect to anthropometric dimensions, can serve multiple purposes including patient metabolic disease risk stratification in clinical settings. Manifold regression 3D avatar prediction equations were developed on a sample of 570 adults who completed 3D optical scans, dual-energy X-ray absorptiometry (DXA), and bioimpedance analysis (BIA) evaluations. A new prospective sample of 84 adults had ground-truth measurements of 6 body circumferences, 7 volumes, and 7 surface areas with a 20-camera 3D reference scanner. 3D humanoid avatars were generated on these participants with manifold regression including age, weight, height, DXA %fat, and BIA impedances as potential predictor variables. Ground-truth and predicted avatar anthropometric dimensions were quantified with the same software. Following exploratory studies, one manifold prediction model was moved forward for presentation that included age, weight, height, and %fat as covariates. Predicted and ground-truth avatars had similar visual appearances; correlations between predicted and ground-truth anthropometric estimates were all high (R2s, 0.75-0.99; all p < 0.001) with non-significant mean differences except for arm circumferences (%D ~ 5%; p < 0.05). Concordance correlation coefficients ranged from 0.80-0.99 and small but significant bias (p < 0.05 - 0.01) was present with Bland-Altman plots in 13 of 20 total anthropometric measurements. The mean waist to hip circumference ratio predicted by manifold regression was non-significantly different from ground-truth scanner measurements. 3D avatars predicted from demographic, physical, and other accessible characteristics can produce body representations with accurate anthropometric dimensions without a 3D scanner. Combining manifold regression algorithms into established body composition methods such as DXA, BIA, and other accessible methods provides new research and clinical opportunities.

Comparative study of the risk prediction model of early postoperative frailty in elderly enterostomy patients based on machine learning methods.

Based on machine learning method, four types of early postoperative frailty risk prediction model of enterostomy patients were constructed to compare the performance of each model and provide the basis for preventing early postoperative frailty of elderly patients with enterostomy. The prospective convenience sampling method was conducted and 362 early postoperative enterostomy patients were selected in three hospitals from July 2020 to November 2023 in Shanghai, four different prediction models of Support Vector Machine (SVM), Bayes, XG Boost, and Logistic regression were used and compared the test effects of the four models (MCC, F1, AUC, and Brier index) to judge the classification performance of the four models in the data of this study. A total of 21 variables were included in this study, and the predictors mainly covered demographic information, stoma-related information, quality of life, anxiety and depression, and frailty. The validated models on the test set are XGBoost, Logistic regression, SVM prediction model, and Bayes on the MCC and F1 scores; on the AUC, XGBoost, Logistic regression, Bayes, and SVM prediction model; on the Brier scores, Bayes, Logistic regression, and XGBoost. XGBoost based on machine learning method is better than SVM prediction model, Logistic regression model and Bayes in sensitivity and accuracy. Quality of life in the early postoperative period can help guide clinical patients to identify patients at high risk of frailty and reduce the incidence of early postoperative frailty in elderly patients with enterostomy.

The Value of Endoscopic Exposure of Round Window in Cochlear Implant via Facial Recess

Abstract Background Cochlear implantation (CI) has been considered as the best treatment in patients with severe to profound hearing loss unaidable with hearing aids. The main value of endoscope-assisted cochlear implantation is improved visibility of the RW and reduced risk of complications, especially in patients with congenital malformations. Aim of the Work The aim of the present study was to assess the value of endoscopic assisted CI surgery via facial recess approach without elevating tympanic anulus. Methods This Prospective case series study non-randomized sample was performed on a total of 50 patients with severe to profound hearing loss unaidable with hearing aids undergoing unilateral endoscopic assisted cochlear implant surgery with round window electrode insertion at Ain Shams University hospitals from April 2020 till March 2022 and approved 94/2020MD by an ethical committee before the start of the recruitment. Results 50 CI operations with endoscopic assistance were prospectively evaluated. There were 23 male (46%) and 27 female (54%) patients. The majority of the cases were children (41 cases, 82%). Of those 50 patients, 39 (78%) were prelingually hearing impaired. Four cases (8%) had various inner ear abnormalities. The standard mastoidectomy and Posterior Tympanotomy (PT) approach were used for all cases. Med-El (FLEX28TM; FLEX24TM Med-El, Innsbruck, Australia), Advanced Bionics (AB)Mid-Scala Electrode and CochlearTM (NUCLEUS® CI422 WITH SLIM STRAIGHT, NUCLEUS® CI24RE CONTOUR ADVANCETM, Sydney, Australia) implants were used. Endoscope-assisted visualization of the RW region through the PT was performed in all cases Rigid endoscopes with 0o and 30o (1.9, 2.7 and 4 mm in width, 11 and 6 cm in length) and an HD (high-definition) camera system (Karl Storz, Tuttlingen, Germany) were used for the endoscopic evaluation. The RW region was visualized and identified by inserting the endoscope through the PT without elevating the tympanic annulus. Then we switched to the microscope and drilled the RW niche (tegmen) using both hands until a circumferential view of the RW membrane is obtained. After proper exposure, the electrode was inserted through an opening in the RW membrane mostly under microscopical vision. Endoscopic identification of the RW through the PT enabled us to perform regular surgery in all cases. The current study concludes the difference between microscopic exposure and endoscopic exposure represented by Saint Tomas classification regarding round window exposure found that endoscopic exposure of round window classification is better represented by downgrading in the classification of round window exposure as type I 29(58%), type IIa 18(36%) type IIb 3 (6%) Non were type III by endoscopic exposure compared to microscopic exposure of round window is a type I 7(14%), type II 14(28%), type IIb 22(44%) and type III 7 (14%). Conclusion As evident from the current study, Endoscopy proved a great value in exposure and identification of RW in CI surgery through posterior tympanotomy approach, especially in difficult cases. Endoscopic-assisted CI through facial recess could be easily done using 1.9mm 0-degree endoscopy even in cases e narrow PT or rotated cochlea

Factors underlying the neurofunctional domains of the Addictions Neuroclinical Assessment assessed by a standardized neurocognitive battery

The Addictions Neuroclinical Assessment (ANA) is a neurobiologically-informed framework designed to understand the etiology and heterogeneity of Alcohol Use Disorder (AUD). Previous studies validated the three neurofunctional domains of ANA: Incentive Salience (IS), Negative Emotionality (NE) and Executive Function (EF) using secondary data. The present cross-sectional observational study assessed these domains in an independent, prospective clinical sample. Adults across the drinking spectrum (N = 300) completed the ANA battery, a standardized collection of behavioral tasks and self-report assessments. Factor analyses were used to identify latent factors underlying each domain. Associations between identified domain factors were evaluated using structural equation models. Receiver operating characteristics analyses were used to determine factors with the strongest ability to classify individuals with problematic drinking and AUD. We found (1) two factors underlie the IS domain: alcohol motivation and alcohol insensitivity. (2) Three factors were identified for the NE domain: internalizing, externalizing, and psychological strength. (3) Five factors were found for the EF domain: inhibitory control, working memory, rumination, interoception, and impulsivity. (4) These ten factors showed varying degrees of cross-correlations, with alcohol motivation, internalizing, and impulsivity exhibiting the strongest correlations. (5) Alcohol motivation, alcohol insensitivity, and impulsivity showed the greatest ability in classifying individuals with problematic drinking and AUD. Thus, the present study identified unique factors underlying each ANA domain assessed using a standardized assessment battery. These results revealed additional dimensionality to the ANA domains, bringing together different constructs from the field into a single cohesive framework and advancing the field of addiction phenotyping. Future work will focus on identifying neurobiological correlates and identifying AUD subtypes based on these factors.

Serotype-Specific Epidemiological Patterns of Inapparent versus Symptomatic Primary Dengue Virus Infections: A 17-year cohort study in Nicaragua.

Dengue is the most prevalent mosquito-borne viral disease and a major public health problem worldwide. Most primary infections with the four dengue virus serotypes (DENV1-4) are inapparent; nonetheless, whether the distribution of symptomatic versus inapparent infections by serotype varies remains unknown. Here, we present (1) the evaluation of a multiplex DENV1-4 envelope domain III multiplex microsphere-based assay (EDIII-MMBA) to serotype inapparent primary infections and (2) its application leveraging 17 years of prospective sample collection from the Nicaraguan Pediatric Dengue Cohort Study (PDCS). First, we evaluated the performance of the EDIII-MMBA with samples characterized by RT-PCR or focus reduction neutralization test. Next, we analyzed 46% (N=574) of total inapparent primary DENV infections in the PDCS with the EDIII-MMBA to evaluate the epidemiology of inapparent infections. Remaining infections were inferred using stochastic imputation, taking year and neighborhood into account. Infection incidence and percentage of inapparent, symptomatic, and severe infections were analyzed by serotype. The EDIII-MMBA demonstrated excellent overall accuracy (100%, 95.8-100%) for serotyping symptomatic and inapparent primary DENV infections when evaluated against gold-standard serotyping methods. We found that a significant majority of primary infections were inapparent, with DENV3 exhibiting the highest likelihood of symptomatic and severe primary infections (Pooled OR compared to DENV1 = 2.13, 95% CI 1.28-3.56, and 6.75, 2.01-22.62, respectively), whereas DENV2 was similar to DENV1 in both analyses. Significant within- and between-year variation in serotype distribution between symptomatic and inapparent infections and circulation of serotypes undetected in symptomatic cases were observed in multiple years. Our study indicates that case surveillance skews the perceived epidemiological footprint of DENV. We reveal a more complex and intricate pattern of serotype distribution in inapparent infections. The significant differences in infection outcomes by serotype emphasizes the need for vaccines with balanced immunogenicity and efficacy across serotypes.

Impact of D-dimer on in-hospital mortality following aortic dissection: A systematic review and meta-analysis.

The utility of D-dimer (DD) as a biomarker for acute aortic dissection (AD) is recognized. Yet, its predictive value for in-hospital mortality remains uncertain and subject to conflicting evidence. To conduct a meta-analysis of AD-related in-hospital mortality (ADIM) with elevated DD levels. We searched PubMed, Scopus, Embase, and Google Scholar for AD and ADIM literature through May 2022. Heterogeneity was assessed using I 2 statistics and effect size (hazard or odds ratio) analysis with random-effects models. Sample size, study type, and patients' mean age were used for subgroup analysis. The significance threshold was P < 0.05. Thirteen studies (3628 patients) were included in our study. The pooled prevalence of ADIM was 20% (95%CI: 15%-25%). Despite comparable demographic characteristics and comorbidities, elevated DD values were associated with higher ADIM risk (unadjusted effect size: 1.94, 95%CI: 1.34-2.8; adjusted effect size: 1.12, 95%CI: 1.05-1.19, P < 0.01). Studies involving patients with a mean age of < 60 years exhibited an increased mortality risk (effect size: 1.43, 95%CI: 1.23-1.67, P < 0.01), whereas no significant difference was observed in studies with a mean age > 60 years. Prospective and larger sample size studies (n > 250) demonstrated a heightened likelihood of ADIM associated with elevated DD levels (effect size: 2.57, 95%CI: 1.30-5.08, P < 0.01 vs effect size: 1.05, 95%CI: 1.00-1.11, P = 0.05, respectively). Our meta-analysis shows elevated DD increases in-hospital mortality risk in AD patients, highlighting the need for larger, prospective studies to improve risk prediction models.

More competent informal caregivers reduce advanced cancer patients' unplanned healthcare use and costs.

Patients with metastatic cancer experience high healthcare use and costs, most of which are unplanned. We aimed to assess whether patients with more competent informal caregivers have lower unplanned healthcare use and costs. This study used data from a prospective cohort of patients with solid metastatic cancer. Patients and their informal family caregivers were surveyed every 3 months until patients' death. Patients' unplanned healthcare use/costs were examined through hospital records. Caregivers responded to the 4-item Caregiver Competence Scale. First, in a deceased subsample of patients and their caregivers, we used patients' last 2 years of data (226 dyads) to assess the association between caregivers' competency (independent variable) and patients' unplanned healthcare use/costs (outcomes). Next, in a prospective sample of patient-caregiver dyads (up to 15 surveys), we assessed whether patients' functional well-being and psychological distress moderated the association between caregivers' competency and unplanned healthcare use/costs (311 dyads). In the deceased subsample, during last 2 years of patients' life, caregivers' higher competency lowered the odds of patients' unplanned healthcare use [OR (CI) = 0.86 (0.75, 0.98), p = 0.03], and was associated with a significant reduction in unplanned healthcare costs [Coeff (CI) = -0.19 (-0.36, -0.01), p = 0.03]. In the prospective sample, patients' functional well-being and psychological distress moderated the association between caregivers' competency and patients' unplanned healthcare use/costs. With deterioration in patients' condition and an increase in caregiving demands, improving caregivers' competency can reduce patients' unplanned healthcare use and costs. This should be further tested in future trials.

A new method to quantify the source contribution of mixed biodegraded oil based on pareto-optimized nonnegative matrix factorization and chord diagram visualization

The biogenic information of different components in crude oils with varying degrees of biodegradation is partially obscured, making traditional molecular indicators ineffective in determining the contributions of mixed sources. Previous studies have mainly focused on calculating mixed source proportion for normal oils, with few investigations involving biodegraded mixed oils. Developing a quantitative method for the mixed source contribution of biodegraded oils using machine learning (ML) algorithms is a significant attempt both to the exploration practice and theoretical progress. Taking the biomarker parameters resistant to biodegradation of 150 oil samples as input datasets, a new method called Pareto-Optimized NMF (PONMF) was proposed in this study, which combines multi-objective optimization (Pareto optimization) with non-negative matrix factorization (NMF) to analyze the relationship between biodegraded oils in the absence of source rock samples or original end-member (EM) oils while satisfying non-negativity constraints and additional constraint conditions. This method decomposes the matrix of crude oil samples into multiple end-members, each representing a possible input from a hydrocarbon source rock. Analysis of the end-member characteristics facilitates the deduction of potential hydrocarbon source layers and the traits of their depositional environments. This examination is supported by data derived from 15 prospective hydrocarbon source rock samples, which were employed to ascertain the actual geological significance of the end-members. The chord diagram depicts the visualization results of the overall relative contribution of source rock end members to crude oil in each area after the PONMF calculation results. The relative contribution of source rocks in different areas to the investigated crude oil samples is proportionate, and the arc length can reflect the contribution of the three sets of source rocks to a certain area. The findings indicate that the oils extracted from the stratified reservoirs in Eastern Chepaizi are primarily derived from the Permian source strata within the Shawan Depression, with a significant contribution ranging from 30% to 90% (EM2), and a lesser extent from the Carboniferous sources, contributing between 5% and 30% (EM1). Conversely, the provenance of oil in Western Chepaizi is overwhelmingly attributed to the Jurassic source interval located in the Sikeshu Depression, where EM3 accounts for over 85% of the source. Meanwhile, the oils in the Central Zone exhibit a composite origin, intermingling contributions from both EM1 and EM3. The advantage of this method is that it does not require direct access to hydrocarbon source rock samples or end-member oils but infers potential hydrocarbon source layers through the existing mixed-source oil samples. The PONMF method provides an effective tool for identifying the sources of biodegraded oils and can be used to study potential hydrocarbon source rock analysis for oils that have undergone biodegradation after hydrocarbon accumulation.

Distribution of Non-thyroid Neck Swellings according to Tissue of Origin and Their Radio-pathological Correlation

Introduction: Neck swellings are commonly found and can be presented as simple benign to malignant. Due to extensive differential diagnosis and similar presentation, the evaluation of neck swellings is more challenging. Most of the cases can be diagnosed after a detailed history and clinical examination of the head and neck, but the final diagnosis will be achieved by histopathological examination. Materials and Methods: The study was conducted from February 2020 to February 2023 on the basis of retrospective and prospective sampling. This study included all the patients with neck swellings, excluding thyroid, who had undergone excisional or incisional biopsy. The present study was carried out on 74 patients with non-thyroid neck swellings, which were classified five into main headings, i.e. lymph node swelling, salivary gland swellings, adipose tissue, neural tissue and skin and soft-tissue swellings as miscellaneous. Data were collected from patient records for retrospective sampling and radiological investigation, and ultrasonography (USG) and excisional or incisional biopsy were done for prospective sampling. A radiological and pathological correlation was analysed as benign and malignant. Results: Out of the 74 patients, n = 60, 81% were benign and n = 14, 19% were malignant. The most common swelling according to the tissue of origin was lymph node (n = 31, 41.9%) followed by salivary gland n = 15 (20.3%), adipose tissue (n = 7, 9.5%) and neural tissue (n = 6, 8.1%) origin. Other soft-tissue swellings were 20.3%. The overall sensitivity, specificity, positive predictive value, negative predictive value and radiological (USG) diagnosis accuracy to differentiate between benign and malignant are very similar to gold standard histopathological examination. Conclusion: Lymph node swellings were the most common swelling involving the neck region. USG diagnosis is highly sensitive for diagnosing malignant swellings but less good at confirming benign swellings. Radiological diagnosis is not a substitute for conventional surgical histopathology but is regarded as a precious complement in diagnosis. Newer diagnostic techniques are required to be infallible and accurate for further management.

Melting curve analysis reveals false-positive norovirus detection in a molecular syndromic panel

BackgroundMolecular syndromic panels can improve rapidity of results and ease clinical laboratory workflow, although caution has been raised for potential false-positive results. Upon implementation of a new panel for infectious diarrhea (BioFire® FilmArray® Gastrointestinal [GI] Panel, bioMérieux) in our clinical laboratory, a higher than expected number of stool samples with norovirus were detected. ObjectivesThe goal of this study was to investigate positive percent agreement and the false-positive rate of norovirus detected by the multiplex BioFire GI panel compared to a singleplex commercial assay. Study designFrom October 2023 to January 2024, all prospective stool samples with a positive norovirus result by BioFire had melting curves reviewed manually using the BioFire FilmArray Torch System. Stool samples further underwent testing by a supplementary real-time RT-PCR assay (Xpert® Norovirus, Cepheid) for comparative analysis. ResultsOf the 50 stool samples with norovirus detected by BioFire, 18 (36 %) tested negative by Xpert (deemed "false-positives"). Furthermore, melting curve analysis revealed nearly all of these samples had atypical melting curve morphologies for the "Noro-1" target on BioFire (16/18, 89 %), which was statistically significant (Odds Ratio 173.2, 95 % CI [22.2, 5326.9], p < 0.0001). Stool samples with multiple pathogens detected by BioFire including norovirus were not more likely to produce false-positive norovirus results (Odds Ratio 1, 95 % CI [0.3, 3.3], p = 1). ConclusionsAlthough not described in the manufacturer's Instructions for Use, we propose routine manual review of melting curves for the BioFire GI panel prior to reporting, to mitigate potential false-positive norovirus results.

Evaluation of InBios Scrub Typhus Detect IgM Rapid Test in Acute Fever Cases from Southwest and East India.

Scrub typhus is clinically undifferentiated from other aetiologies for acute febrile illness such as enteric fever, dengue, malaria, and leptospirosis. Rapid ELISA tests are being used as an alternative to immunofluorescence assay in tropical countries. In this study, we compared and evaluated commercially available InBios Scrub Typhus Detect IgM Rapid Test (USA) for diagnosing human scrub typhus infection using archived and prospectively collected samples against the reference standard, InBios Scrub Typhus Detect IgM ELISA (USA). The data analysis of archived samples on rapid test revealed a moderate sensitivity of 53.92% and a specificity of 100%. Meanwhile, prospective serum samples demonstrated higher sensitivity and specificity of 96.4% and 94.6%, respectively. The InBios Scrub Typhus Detect IgM rapid test can be a good point-of-care assay during surveillance, outbreak investigations, and case identification.

Predicting the dynamics of organ failure in patients with acute pancreatitis depending on the mean platelet volume

BackgroundThe aim of this study is to determine the correlation between the blood serum mean platelet volume (MPV) and the dynamics of the OF course during the early phase in patients with moderately severe and severe acute pancreatitis (AP). MethodsThe predetermined criterion was the presence of the OF according to the revised Atlanta criteria 2012 for moderately severe and severe AP. A prospective sample of patients was stratified by severity, and two groups were defined based on MPV. Demographic indicators, comorbidities and clinical outcomes were compared between these groups. Multifactorial analysis determined whether an elevated MPV is independently associated with early OF and other unfavorable outcomes. ResultsOut of 108 patients, 20 had moderately severe AP and 88 had severe AP. The blood serum MPV, measured within 72 h of the onset of AP symptoms was lower 11.8 fL in 32 patients and equal to or greater 11.8 fL in 76 patients. Patients with elevated MPV were older (63 vs. 48 years), had obesity (59.2 % vs. 25 %), diabetes mellitus (DM) (51.3 % vs. 12.5 %), ischemic heart disease (70.8 % vs. 28.1 %) and more frequently experienced persistent OF (93.4 % vs. 53.1 %) compared to those with MPV lower 11.8 fL. The incidence of early OF increased proportionally with the severity of MPV (81.6 % vs. 34.4 % in the group with MPV lower 11.8 fL, Ptrend < 0.0001). In multifactorial analysis, adjusted for body mass index and DM, MPV equal to or greater 11.8 fL was independently associated with early OF. ConclusionsElevated blood serum MPV of patients with AP are independently and proportionally correlated with early organ failure in patients with alcoholic and idiopathic etiology of AP. Key messageThe study provides an evaluation of MPV as a prognostic marker for organ failure within the initial 7 days following the onset of acute pancreatitis symptoms. Additionally, alterations in MPV were identified in patients with acute pancreatitis who had diabetes or ischemic heart disease within the first 24 h of hospitalization.