Patient Samples Research Articles

Causes and predictors of recurrent unplanned hospital admissions in heart failure patients: a cohort study.

Despite progress in therapy, heart failure (HF) inflicts a heavy burden of hospital admissions. In this study, we identified among 1360 community-dwelling HF patients (mean age 70.7 ± 11.3 years, 72.5% men) subgroups sharing similar profiles of unplanned hospital admissions, based on the admission causes and frequency of each cause. Hospital discharge summaries were reviewed for the main admission cause. Patient subgroups were identified via cluster analysis. We investigated baseline predictors associated with these subgroups, using multinomial logistic models. During 3421 patient-years, there were 5192 hospital admissions, of which 4252 (82%) were unplanned. We identified five patient subgroups (clusters 1-5) with distinctive hospitalization profiles. HF accounted for approximately one-third of admissions in the first patient cluster (23% of the patient sample). In contrast, patients in the second cluster (39% of the patient sample) were hospitalized for various reasons, with no single prominent admission cause identified. The other three clusters, comprising 16% of the patient sample, accounted for 42% of all unplanned hospitalizations. While patients in the third cluster were hospitalized mainly due to ischemic heart disease and arrhythmia, patients in the fourth and fifth clusters shared a high burden of recurrent HF admissions. The five patient clusters differed by baseline predictors, including age, functional capacity, comorbidity burden, hemoglobin, and cause of HF. HF patients differ significantly in the causes and overall burden of unplanned hospitalizations. The patient subgroups identified and predictors for these subgroups may guide personalized interventions to reduce the burden of unplanned hospitalizations among HF patients. Trial registration: ClinicalTrials.gov, NCT00533013. Registered 20 September 2007. https://clinicaltrials.gov/study/NCT00533013 .

Analytical and operational considerations of measuring glucose 6-phosphate dehydrogenase (G6PD) activity using a fully automated assay.

This study determined the performance characteristics of a quantitative glucose-6-phosphate dehydrogenase (G6PD) assay with automated lysis and evaluated the robustness of the operational workflow following implementation in a hospital laboratory. The G6PD activity was measured in whole blood using an enzymatic quantitative test on a Roche cobas c501 analyzer with onboard lysis configuration and normalized to hemoglobin (Hb). The performance characteristics of the method and stability of G6PD in whole blood collected in EDTA-containing tubes were evaluated, and the reference interval was established on a population of healthy individuals (n = 279). The robustness of this automated workflow for sample lysis was evaluated during validation and after implementation for routine clinical use for 18 months and in 2,181 patients. The G6PD assay was linear from 0.7 to 16.5 U/g Hb. Inter- and intra-assay precision using control and patient samples was below 12%. The G6PD results correlated well with a reference laboratory method (r = 0.96, y = 0.9615x - 1.222). The reference interval in our population was 9.8 to 15.5 U/g Hb. There were no interferences by lipemia and icteria, although grossly hemolyzed specimens may be affected. The testing workflow requires analyzing samples within minutes from mixing and loading into the instrument to avoid sample sedimentation. Measures to repeat samples with Hb 8.0g/dL or less identified sedimented samples. In our patient population, 10.6% and 5.8% of the total males and females tested were G6PD deficient, respectively. The G6PD assay with automated lysis is acceptable for patient testing. Several measures ensured the robustness of this workflow in a hospital laboratory.

Patients recovering from COVID-19 who presented with anosmia during their acute episode have behavioral, functional, and structural brain alterations

Patients recovering from COVID-19 commonly exhibit cognitive and brain alterations, yet the specific neuropathological mechanisms and risk factors underlying these alterations remain elusive. Given the significant global incidence of COVID-19, identifying factors that can distinguish individuals at risk of developing brain alterations is crucial for prioritizing follow-up care. Here, we report findings from a sample of patients consisting of 73 adults with a mild to moderate SARS-CoV-2 infection without signs of respiratory failure and 27 with infections attributed to other agents and no history of COVID-19. The participants underwent cognitive screening, a decision-making task, and MRI evaluations. We assessed for the presence of anosmia and the requirement for hospitalization. Groups did not differ in age or cognitive performance. Patients who presented with anosmia exhibited more impulsive alternative changes after a shift in probabilities (r = − 0.26, p = 0.001), while patients who required hospitalization showed more perseverative choices (r = 0.25, p = 0.003). Anosmia correlated with brain measures, including decreased functional activity during the decision-making task, thinning of cortical thickness in parietal regions, and loss of white matter integrity. Hence, anosmia could be a factor to be considered when identifying at-risk populations for follow-up.

Monkeypox in Bulgaria: Significance of Various Clinical Samples, Clinical Manifestation, and Molecular Detection.

Background/Objectives: Monkeypox (mpox) is currently the most common orthopoxvirus (OPXV) zoonotic disease, and, since 2022, there has been atypical person-to-person transmission observed in non-endemic countries. The present study aimed to investigate the frequency of monkeypox virus (MPXV) and OPXV DNA detection in recommended and alternative clinical materials taken during the acute and convalescent phases of infection in Bulgarian patients. Methods: The study included laboratory investigation by real time PCR of 181 clinical samples from 42 Bulgarian patients with possible mpox infections. Results: MPXV DNA was detected in 23/181 (12.71%), and OPXV DNA in 20/181 (11.05%) clinical samples. There were six mpox-confirmed patients aged 23 to 44. At the highest frequency, MPXV and OPXV DNA were detected in samples of vesicular contents (6/6) and nasal/oropharyngeal secretions (5/6 and 4/6) during the first three days from the appearance of clinical symptoms. We demonstrated MPXV and OPXV DNA in alternative samples (urine, feces, ejaculate, and saliva), and in follow-up patient samples, taken two weeks after mpox confirmation in the convalescent phase (vesicular contentsand urine). Conclusions: Our findings suggested that MPXV may be detected in a larger set of clinical materials, including alternatives, where the virus can persist for more than two weeks.

Association between human leukocyte antigen class II-DR-DQ and narcolepsy: a case control study.

Narcolepsy is a neurologic disorder characterized by irresistible sleep attacks. Although its etiology is unknown, it is strongly associated with genetic variances in the human leukocyte antigen (HLA) complex. We investigated the association of HLA class II-DR-DQ alleles in a sample of patients with narcolepsy-cataplexy (narcolepsy type 1; NT1) and patients with narcolepsy without cataplexy (narcolepsy type 2; NT2) with a control group. Additionally, we compared demographic, clinical, and laboratory characteristics of patients with narcolepsy with or without the DQB1*06:02 allele. This case control study included 21 patients with NT1 (56.8%), 16 patients with NT2 (43.2%), and 100 controls. Sequence-based typing identified HLA-DRB1 alleles, and HLA-DQB1 typing was done using PCR-Sequence-Specific Oligonucleotide. Allele and haplotype frequencies were calculated by direct counting. Nocturnal polysomnography and Multiple Sleep Latency Test were performed in all participants. In the NT1 group, only one allele had a significantly higher frequency than in the NT2 group: DQB1*06:02 (61.9% vs. 18.8%;). Compared to controls, DQB1*06:02 (61.9% vs. 18.0% in controls) and DRB1*15:01(47.6% vs. 8.0%), had higher frequencies in patients with NT1. Multiple analyses showed that patients with NT1 had an increased chance of being HLA-DQB1*06:02 positive. HLA-DRB1*15:01-DQA1*01:02-DQB1*06:02 haplotype is associated with NT1 in our Brazilian patients. PSG was identified in DQB1*06:02 positive subgroup REM sleep latency (REML) ≤ 15 minutes, and all patients had two or more sleep-onset REM periods (SOREMPs) at MSLT. This study showed a strong association between HLA DQB1*06:02 and the haplotype HLA-DRB1*15:01-DQA1*01:02-DQB1*06:02 in patients with NT1. Patients with DQB1*0602 allele showed shorter REMLs at PSG. These results reinforce the suggestion of DQB1 genotyping as relevant to narcolepsy screening.

Accuracy of Patient-Collected Vital Signs.

Introduction: Telehealth has emerged as an important clinical setting for managing acute respiratory tract infections (ARIs), potentially reducing emergency department and urgent care overcrowding, and reducing nosocomial transmission. Many current algorithms for ARI management incorporate information on patient vital signs. However, the accuracy of vital signs collected by patients using readily available home devices and techniques has not been studied. Methods: A cross-sectional sample of patients seen for urgent conditions at a hospital emergency and urgent care center were given instructions and low-cost, readily available devices to collect their vital signs. A trained research coordinator collected a parallel set of vital signs using standard hospital equipment, serving as the gold standard. We analyzed the performance of patient-collected vital signs compared with vital signs collected by a trained research coordinator. Results: A total of 300 patients completed the study. Patient-collected vital signs were highly specific for traditional levels of abnormalities (HR >100 beats per min, RR >24 breaths per min, temperature >100.4 degrees Fahrenheit, oxygen saturation <94 percent); however, sensitivity was poor for elevated heart rate by pulse estimation (25%) and elevated respiratory rate (60%). Heart rate and oxygen saturation by pulse oximeter and oral temperature had higher sensitivity. Conclusions: Vital signs measured and provided by patients are not uniformly accurate, particularly when using manual techniques rather than automated devices. Telehealth algorithms that rely on these values could provide incorrect triage and management advice.

Glomerular Injury Is Associated with Severe Courses of Orthohantavirus Infection.

Hemorrhagic fever with renal syndrome (HFRS) induced by Eurasian pathogenic orthohantaviruses is characterized by acute kidney injury (AKI) with often massive proteinuria. The mechanisms of the organ-specific manifestation are not completely understood. To analyze the role of glomerular and tubular damage in kidney injury induced by HFRS, we measured specific markers in urine samples of patients with acute Puumala virus (PUUV) infection and determined their correlation with disease severity. Levels of α1-microglobulin (α1-MG) and kidney injury molecule 1 (KIM-1), which is expressed by injured tubular epithelial cells, were measured to detect tubular dysfunction and injury. Immunoglobulin G (IgG) and the podocyte specific protein nephrin served as markers for glomerular injury. All four markers were elevated on admission. Markers of glomerular injury, IgG and nephrin, correlated with markers of disease severity such as length of hospitalization, serum creatinine, and proteinuria. In contrast, tubular injury did not correlate with these severity markers. Our results demonstrate that hantavirus infection induces both glomerular and tubular injury early in the clinical course. However, the glomerular dysfunction and podocyte injury seem to contribute directly to disease severity and to play a more central role in HFRS pathogenicity than direct damage to tubular epithelial cells.

Perception of dental appearance and aesthetic analysis among patients, laypersons and dentists.

Current concepts of beauty are increasingly subjective, influenced by the viewpoints of others. The aim of the study was to evaluate divergences in the perception of dental appearance and smile esthetics among patients, laypersons and dental practitioners. The study goals were to evaluate the influence of age, sex, education and dental specialty on the participants' judgment and to identify the values of different esthetic criteria. Patients sample included 50 patients who responded to a dental appearance questionnaire (DAQ). Two frontal photographs were taken, one during a smile and one with retracted lips. Laypersons and dentists were asked to evaluate both photographs using a Linear Scale from (0-10), where 0 represent (absolutely unaesthetic) and 10 represent (absolutely aesthetic). One-way analysis of variance (ANOVA) and t-test analysis were measured for each group. Most patients in the sample expressed satisfaction with most aspects of their smiles and dental appearance. Among laypersons (including 488 participants), 47 pictures "with lips" out of 50 had higher mean aesthetic scores compared to pictures "without lips". Among the dentist sample, 90 dentists' perception towards the esthetic smile and dental appearance for photos "with lips" and "without lips" were the same for 23 out of 50 patients. Perception of smile aesthetics differed between patients, laypersons and dentists. Several factors can contribute to shape the perception of smile aesthetic. To compare the perception of dental aesthetic among patients, laypersons, and professional dentists, to evaluate the impact of age, sex, educational background, and income on the judgments made by laypersons, to assess the variations in experience, specialty, age, and sex on professional dentists' judgment, and to evaluate the role of lips, skin shade and tooth shade in different participants' judgments. Patients sample included 50 patients who responded to DAQ. Two frontal photographs were taken: one during a smile and one with retracted lips. Laypersons and dentists were asked to evaluate both photographs using a Linear Scale from (0-10), where 0 represent (absolutely unaesthetic) and 10 represent (absolutely aesthetic). One-way ANOVA and t-test analysis were measured for each group. Most patients in the sample expressed satisfaction with most aspects of their smiles and dental appearance. Among laypersons (including 488 participants), 47 pictures "with lips" out of 50 had higher mean aesthetic scores compared to pictures "without lips". Whereas among the dentist sample, 90 dentists' perception towards the esthetic smile and dental appearance for photos "with lips" and "without lips" were the same for 23 out of 50 patients. Perception of smile aesthetics differed between patients, laypersons and dentists. Several factors can contribute to shape the perception of smile aesthetic.

Overlooked poor-quality patient samples in sequencing data impair reproducibility of published clinically relevant datasets

BackgroundReproducibility is a major concern in biomedical studies, and existing publication guidelines do not solve the problem. Batch effects and quality imbalances between groups of biological samples are major factors hampering reproducibility. Yet, the latter is rarely considered in the scientific literature.ResultsOur analysis uses 40 clinically relevant RNA-seq datasets to quantify the impact of quality imbalance between groups of samples on the reproducibility of gene expression studies. High-quality imbalance is frequent (14 datasets; 35%), and hundreds of quality markers are present in more than 50% of the datasets. Enrichment analysis suggests common stress-driven effects among the low-quality samples and highlights a complementary role of transcription factors and miRNAs to regulate stress response. Preliminary ChIP-seq results show similar trends. Quality imbalance has an impact on the number of differential genes derived by comparing control to disease samples (the higher the imbalance, the higher the number of genes), on the proportion of quality markers in top differential genes (the higher the imbalance, the higher the proportion; up to 22%) and on the proportion of known disease genes in top differential genes (the higher the imbalance, the lower the proportion). We show that removing outliers based on their quality score improves the resulting downstream analysis.ConclusionsThanks to a stringent selection of well-designed datasets, we demonstrate that quality imbalance between groups of samples can significantly reduce the relevance of differential genes, consequently reducing reproducibility between studies. Appropriate experimental design and analysis methods can substantially reduce the problem.

Phenotypic characterization and antibiotic resistance of enterobacteria strains isolated from samples of patients in the towns of Moundou and Sarh in Chad

Today, enterobacteria constitute one of the most predominant causes of nosocomial and acquired infections in our communities. The bactericidal action of antibiotics on bacteria is used therapeutically, unfortunately the latter have started to develop resistances. Antibiotic resistance remains a major global public health issue, a serious problem in some of the world's poorest countries such as Chad. The objective of this study is to identify the strains of enterobacteria coming from samples of patients admitted to the Moundou and Sarh health centers, and to report their resistance profiles. A total of 278 samples consisting of urine (133) and stools (145) were collected in the laboratories of the two provincial hospitals of Sarh and Moundou between September and December 2021. The samples were processed and analyzed according to standard microbiology methods. The study of the sensitivity of different strains of enterobacteria with 14 antibiotic disks was evaluated by the disk diffusion method in agar medium. A total of 278 samples (urine, stool) including 111 strains of Enterobacteria, including 55 strains of E. coli, Enterobacter spp (n=17), klebsiella (n=11), Salmonella (n=9), Serratia ( n=7), Citrobacter (n=6) and Shigella (n=2) were isolated in the laboratory in the towns of Moundou and Sarh in Chad. The antibiogram carried out on all isolated strains of enterobacteria expressed a resistance ranging between 33.3% and 83.3% to 3rd generation cephalosporins, 30.3% and 50.0% to aminoglycosides. On the other hand, a strain of Salmonella is resistant to imipenem in Sarh. This study shows a high level of resistance acquired to different families of antibiotics by our bacterial strains studied. This resistance highlights the need to adapt therapeutic regimens to local epidemiology. Keywords : Characterization, Phenotype, Antibiotic resistance, Enterobacteria, Cities, Chad

LncRNA NPTN-IT1-201 Ameliorates Depressive-like Behavior by Targeting miR-142-5p and Regulating Inflammation and Apoptosis via BDNF.

Long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) are widely expressed in the brain and are associated with the development of neurological and neurodegenerative diseases. However, their roles and molecular mechanisms in major depressive disorder (MDD) remain largely unknown. This study aimed to identify lncRNAs and miRNAs involved in the development of MDD and elucidate their molecular mechanisms. Transcriptome and bioinformatic analyses were performed to identify miRNAs and lncRNAs related to MDD. C57 mice were subjected to chronic unpredictable mild stress (CUMS) to establish a depression model. Lentiviruses containing either lncRNA NPTN-IT1-201 or miR-142-5p were microinjected into the hippocampal region of these mice. Behavioral tests including the sucrose preference test (SPT), tail suspension test (TST), and forced swim test (FST) were conducted to evaluate depressive-like behaviors. The results revealed that overexpression of lncRNA NPTN-IT1-201 or inhibition of miR-142-5p significantly ameliorated depressive-like behaviors in CUMS-treated mice. Dual-luciferase reporter assays confirmed interactions between miR-142-5p with both brain-derived neurotrophic factor (BDNF) and NPTN-IT1-201. ELISA analysis revealed significant alterations in relevant biomarkers in the blood samples of MDD patients compared to healthy controls. Histological analyses, including HE and Nissl staining, showed marked structural changes in brain tissues following CUMS treatment, which were partially reversed by lncRNA NPTN-IT1-201 overexpression or miR-142-5p inhibition. Immunofluorescence imaging demonstrated significant differences in the levels of BAX, Bcl2, p65, Iba1 among different treatment groups. TUNEL assays confirmed reduced apoptosis in brain tissues following these interventions. Western blotting showed the significant differences in BDNF, BAX, and Bcl2 protein levels among different treatment groups. NPTN-IT1-201 regulates inflammation and apoptosis in MDD by targeting BDNF via miR-142-5p, making it a potential therapeutic target for MDD.

Copy number variation and clinical response to chemotherapy and bevacizumab in the Czech metastatic colorectal cancer patients.

Despite bevacizumab being the first biological agent approved for the treatment of metastatic colorectal cancer (mCRC), there is not any established DNA biomarker to improve its efficacy and personalize the treatment. Thirty patients with mCRC on bevacizumab therapy (15 with a good response and 15 with a poor response) from the University Hospital Olomouc were followed. Formalin-fixed paraffin-embedded (FFPE) samples were used for copy number variation (CNV) analysis using the OncoScan FFPE Assay Kit in order to capture approx. 900 tumor genes. In the group of good responding patients, 102 genes (classified as ATPases, type AAA, neuronal signal transmission, regulation of transcription, and superior domain PH type), potentially significant positive predictive tumor biomarkers of bevacizumab treatment, were found. In the poorly responding group, 74 potentially negative predictive genes (classified as galectines, Jak-STAT signalling pathway, MAPK cascade, differentiation, and F-box associated domain) were identified. In the pilot study, we found promising copy number variation biomarkers of bevacizumab response in FFPE samples of mCRC patients. The validation phase should be focused especially on the genes associated with angiogenesis (AGRN, MAPK8, ARHGAP22, LGALS13, LGALS4, ZFP36, and MYC), tumorigenesis (DVL1), and tumor proliferation (IFNL1, IFNL2, IFNL3, MAP3K10, and MAP4K1).

Biomarker Detection and Validation for Corneal Involvement in Patients With Acute Infectious Conjunctivitis

Infectious conjunctivitis can lead to corneal involvement and result in ocular morbidity. The identification of biomarkers associated with corneal involvement has the potential to improve patient care. To identify biomarkers in patients with acute infectious conjunctivitis. This cross-sectional study took place from December 2016 to March 2024. Analyses were performed in 3 phases. First, logistic regression and machine learning algorithms were used to predict the probability of demonstrating corneal involvement in patients with presumed infectious conjunctivitis. Second, quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to confirm the most important biomarker gene identified by the algorithm. Third, the biomarker gene was validated in prospectively collected conjunctival samples of adult patients from 3 outpatient centers in Thailand and 1 in India. Patients with signs and symptoms of infectious conjunctivitis and onset within less than 14 days were eligible. Exclusion criteria were the inability to consent, presumed toxicity, or allergic conjunctivitis. Acute infectious conjunctivitis. The identification and validation of ocular surface gene expression associated with corneal findings on slitlamp examination. Thirteen genes exhibited a 1.5-log2 fold change in expression in patients with corneal involvement compared to patients without corneal involvement. Using the 13 genes to train and cross validate, logistic regression produced the highest mean area under the receiver operating characteristic curve (AUROC; 0.85; 95% CI, 0.84-0.86) for corneal involvement. The removal of apolipoprotein E (APOE) from the gene ensemble led to a decline in predictive performance of the logistic regression classifier (from mean AUROC 0.85 [95% CI, 0.84-0.86] to 0.74 [95% CI, 0.73-0.75]; adjusted P = .001 [Tukey test]). Orthogonal testing of APOE expression level with RT-qPCR showed that APOE expression was higher in patients with corneal involvement compared to patients without (median [IQR], 0.23 [0.04-0.47] vs 0.04 [0.02-0.06]; P = .004 [Mann-Whitney U test]). Using a Youden index of 0.23 Δ threshold cycle, APOE had a sensitivity of 56% (95% CI, 33-77) and a specificity of 88% (95% CI, 79-93) in 106 samples with conjunctivitis at Aravind, India (P < .001 [Fisher exact test]). When applied to a different patient population in Thailand, the same criteria could discriminate between disease states (58 samples; sensitivity, 47%; 95% CI, 30-64 and specificity, 93%; 95% CI, 77-99; P = .001 [Fisher exact test]). The results from this study suggest that the host conjunctival immune response can be meaningfully interrogated to identify biomarkers for ocular surface diseases.

Rapid complete blood count and C-reactive protein determination with the Horiba Microsemi analyzer: the experience in neonatal intensive care unit of Careggi University Hospital

Microsystems represent an alternative but proficient approach of analysis outside the laboratory, and their use could help in reducing the impact of pre-analytical errors, in particular in challenging newborn samples. The study purpose is to compare the Horiba Microsemi CRP LC-767G system for rapid 3-part complete blood count (CBC) and C-reactive protein (CRP) determination with the laboratory reference systems (respectively Sysmex XN-9100™ and Roche Cobas® c702) in samples of adult patients and newborns hospitalized in the neonatal intensive care unit (NICU) samples. The comparison between the analyzers was performed through Passing-Bablok regression analysis and Bland–Altman plot. One hundred eighty-three blood samples were analyzed. The regression analysis results, performed in the newborn (n = 70) and in adult (n = 113) populations, showed a good agreement between the instruments. The evaluation of the Bland–Altman plots showed comparable values of bias < 10% for most of the parameters, but not for MPV, lymphocyte, and monocyte count. Conclusion: The comparison between the Microsemi CRP LC-767G system and the laboratory instrumentations demonstrated comparable results. The Microsemi CRP LC-767G system provides reliable analytical data and faster turnaround time, particularly useful in NICU. What is Known:• Microsystems for point-of-care testing (POCT) represent an alternative but proficient approach of analysis outside the laboratory, in order to perform a rapid, safe, and exhaustive evaluation for critical patients’ management, acting as a valid support for treatment in acute care.What is New:• The Microsemi CRP LC-767G system can represent an alternative but effective testing approach outside the laboratory, particularly in NICU, to reduce the impact of pre-analytical errors on newborn samples.

Analysis of single nucleotide polymorphism of p16 gene in cytological samples of patients with oral potentially malignant disorders (OPMD) and oral squamous cell carcinoma (OSCC)

Backgroundpl6 (CDKN2a) play a role in tumorigenesis in some head and neck squamous cell carcinomas. Frequent homozygous deletions of the pl6 gene have been reported in many tumor cell lines including the brain, breast, osteosarcomas, melanomas, kidney, bladder, and ovary. Materials and methods5 patients without any tobacco using habit were included in group I as controls. 10 clinically and histopathologically confirmed cases of oral potentially malignant disorders (OPMDs) [oral submucous fibrosis (OSMF) −7 & leukoplakia (moderate dysplasia) −3] were included in group II. 10 clinically and histopathologically confirmed cases of OSCC were categorized as group III. Buccal scrapings were taken and analyzed for exon 1, 2, 3 of p16 and homozygous deletion in exon 2 of p16 was also detected by PCR and gel electrophoresis. ResultsPCR amplification products of exon 1, 2, 3 of p16 were found in all 25 samples which include 10 cases of OSCC, 10 cases of OPMDs and 5 controls. Homozygous deletion in exon 2 was found only in 30 % of OSCC and 20 % of OPMD. ConclusionOur study showed that cytological samples yield sufficient amount of DNA, which showed 100 % positivity with exon 1, 2, 3 of p16 gene, but the percentage of genetic alteration of p16 gene seems to be less when compared with other related studies.

Variability of Mitochondrial DNA Heteroplasmy: Association with Asymptomatic Carotid Atherosclerosis.

Background and Objectives: Atherosclerosis is one of the main reasons for cardiovascular disease development. This study aimed to analyze the association of mtDNA mutations and atherosclerotic plaques in carotid arteries of patients with atherosclerosis and conditionally healthy study participants from the Novosibirsk region. Methods: PCR fragments of DNA containing the regions of 10 investigated mtDNA mutations were pyrosequenced. The heteroplasmy levels of mtDNA mutations were analyzed using a quantitative method based on pyrosequencing technology developed by M. A. Sazonova and colleagues. Results: In the analysis of samples of patients with atherosclerotic plaques of the carotid arteries and conditionally healthy study participants from the Novosibirsk region, four proatherogenic mutations in the mitochondrial genome (m.5178C>A, m.652delG, m.12315G>A and m.3256C>T) and three antiatherogenic mutations in mtDNA (m.13513G>A, m.652insG, and m.14846G>A) were detected. A west-east gradient was found in the distribution of the mtDNA mutations m.5178C>A, m.3256C>T, m.652insG, and m.13513G>A. Conclusions: Therefore, four proatherogenic mutations in the mitochondrial genome (m.5178C>A, m.652delG, m.12315G>A, and m.3256C>T) and three antiatherogenic mutations in mtDNA (m.13513G>A, m.652insG, and m.14846G>A) were detected in patients with atherosclerotic plaques in their carotid arteries from the Novosibirsk region.

Analyzing Dropout in Alcohol Recovery Programs: A Machine Learning Approach.

Background: Retention in treatment is crucial for the success of interventions targeting alcohol use disorder (AUD), which affects over 100 million people globally. Most previous studies have used classical statistical techniques to predict treatment dropout, and their results remain inconclusive. This study aimed to use novel machine learning tools to identify models that predict dropout with greater precision, enabling the development of better retention strategies for those at higher risk. Methods: A retrospective observational study of 39,030 (17.3% female) participants enrolled in outpatient-based treatment for alcohol use disorder in a state-wide public treatment network has been used. Participants were recruited between 1 January 2015 and 31 December 2019. We applied different machine learning algorithms to create models that allow one to predict the premature cessation of treatment (dropout). With the objective of increasing the explainability of those models with the best precision, considered as black-box models, explainability technique analyses were also applied. Results: Considering as the best models those obtained with one of the so-called black-box models (support vector classifier (SVC)), the results from the best model, from the explainability perspective, showed that the variables that showed greater explanatory capacity for treatment dropout are previous drug use as well as psychiatric comorbidity. Among these variables, those of having undergone previous opioid substitution treatment and receiving coordinated psychiatric care in mental health services showed the greatest capacity for predicting dropout. Conclusions: By using novel machine learning techniques on a large representative sample of patients enrolled in alcohol use disorder treatment, we have identified several machine learning models that help in predicting a higher risk of treatment dropout. Previous treatment for other substance use disorders (SUDs) and concurrent psychiatric comorbidity were the best predictors of dropout, and patients showing these characteristics may need more intensive or complementary interventions to benefit from treatment.

Exploring the Relationship Among Financial Hardship, Anxiety, and Depression in Patients With Cancer: A Longitudinal Study.

Financial hardship (FH) is a complex issue in cancer care, affecting material conditions, well-being, and coping behaviors. This study aimed to longitudinally examine FH, anxiety, depressive symptoms, and their associations while incorporating social determinants of health and health care cost covariates in a sample of patients diagnosed with cancer. This prospective, longitudinal cohort study analyzed data from 2,305 participants from the Northwestern University Improving the Management of Symptoms during and following Cancer Treatment trial. Outcomes assessed at baseline and at 3, 6, 9, and 12 months postbaseline included depressive symptoms, anxiety, and FH. Analysis involved random intercept cross-lagged panel models to explore between- and within-person effects, incorporating factors such as age, sex, insurance status, neighborhood area deprivation, health care charges, out-of-pocket costs, and health literacy. The cohort had a mean age of 60.7 (standard deviation [SD] = 12.7) years and was mostly female (64.9%) and White (86.2%). Correlations were found between FH and depressive symptoms (r = 0.310) and anxiety (r = 0.289). A predictive relationship was observed between FH and depressive symptoms, with baseline and 6-month depressive symptom levels predicting later FH (baseline β = .079, P = .070; 6-month β = .072, P = .081) and 9-month FH significantly predicting 12-month depressive symptoms (β = .083, P = .025), even after accounting for health care charges and out-of-pocket costs. Baseline and 9-month anxiety showed a predictive relationship with subsequent FH (baseline β = .097, P = .023; 9-month β = .071, P = .068). FH emerged as a prominent issue, with nearly half of participants experiencing some level of FH. Depressive symptoms and anxiety were related to FH. These findings underscore the need for a comprehensive approach in cancer care that concurrently addresses anxiety, depressive symptoms, and FH, recognizing their interconnected impact.

Prevalence of Heparin induced thrombocytopenia among Indian patients who underwent Heparin therapy in five cities of India: A cross sectional descriptive study

Thrombocytopenia is the platelet disorder in which the thrombocytes count reduces less than 1.5 lakhs. Medication is the prime management of any treatment, the medicines advised to patients help in curing the disease, however these medications have adverse effects too, these adverse reactions are local and systemic, one such drug used in clotting disorder develops thrombocytopenia and the condition is called Heparin induced thrombocytopenia. The present study aims to study the prevalence of heparin induced thrombocytopenia in multiple cities in India.A cross sectional study designed to assess the prevalence of heparin induced thrombocytopenia in India for a period of 6 months from December 2021 to June 2022.A total of 2860 samples were selected from different diagnostic centers at Lucknow, Panipat, Sonipat, Gohana, Delhi all heparin administrated patients samples were collected in the clinical area and who were at risk of developing decreased platelets counts or any skin related symptoms like rashes, petechiae ,redness, red spots were identified.The study was conducted for 2860 samples of which 109 found have heparin induced thrombocytopenia, the prevalence of heparin-induced thrombocytopenia was 3.8.Heparin is used in clotting disorder; the adverse effect of heparin usage can lead to heparin-induced thrombocytopenia. The present study identified the prevalence rate of heparin-induced thrombocytopenia, which help in identifying the complication associated with the heparin therapy and its induced thrombocytopenia.

A Brief Online Intervention Based on Dialectical Behavior Therapy for a Reduction in Binge-Eating Symptoms and Eating Pathology.

Dysregulated eating behaviors, comprising subthreshold and clinical binge-eating disorder (BED) and bulimia nervosa (BN), are increasing among the general population, with a consequent negative impact on one's health and well-being. Despite the severity of these outcomes, people with BED and BN often face a delay in receiving a diagnosis or treatment, often due to difficulties in accessing care. Hence, evidence-based and sustainable interventions for eating symptomatology are needed. The present study aims to assess the effectiveness of a web-based 10-session multidisciplinary group intervention based on Dialectical Behavior Therapy (DBT) for BED and BN, aimed at reducing psychological distress and binge-eating-related symptomatology in a sample of patients with dysregulated eating behaviors and including one session of nutritional therapeutic education. A total of 65 participants (84.6% F; age M = 38.5 ± 13.2; experimental group, N = 43; treatment-as-usual group, TAU, N = 22) took part in the study. The results show, after the 9 weekly sessions, a significant reduction in binge-eating-related symptomatology and general psychopathology and an increased self-esteem and eating self-efficacy in social contexts in the experimental group compared to the treatment-as-usual group (T0 vs. T1). Improvements in the experimental group were significantly maintained after one month from the end of the intervention (T2) in terms of binge-eating symptoms, general psychopathology, and eating self-efficacy in social contexts. This study supports the effectiveness of a brief web-based multidisciplinary group intervention in reducing eating symptomatology and psychological distress and enhancing self-esteem and eating self-efficacy in a group of people with dysregulated eating behaviors. Brief web-based interventions could represent an accessible and sustainable resource to address binge-eating-related symptomatology in public clinical settings.