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Nevin Manimala Statistics

Perioperative mortality among trauma patients in Northwest Ethiopia: a prospective cohort study

Sci Rep. 2023 Dec 21;13(1):22859. doi: 10.1038/s41598-023-50101-8.

ABSTRACT

Trauma is the leading cause of mortality in persons under 45 and a significant public health issue. Trauma is the most frequent cause of perioperative mortality among all surgical patients. Little is known about perioperative outcomes among trauma patients in low-income countries. This study aimed to assess the incidence and identify predictors of perioperative mortality among adult trauma victims at Tibebe Ghion Specialised Hospital. From June 1, 2019, to June 30, 2021, a prospective cohort study was conducted at Tibebe Ghion Specialized Hospital. Demographic, pre-hospital and perioperative clinical data were collected using an electronic data collection tool, Research Electronic Data Capture (REDCap). Cox proportional hazard model regression was used to assess the association between predictors and perioperative mortality among trauma victims. Crude and adjusted hazard ratio (HR) with a 95% confidence interval (CI) was computed; a p-value < 0.05 was a cutoff value to declare statistical significance. One thousand sixty-nine trauma patients were enrolled in this study. The overall incidence of perioperative mortality among trauma patients was 5.89%, with an incidence rate of 2.23 (95% CI 1.74 to 2.86) deaths per 1000 person-day observation. Age ≥ 65 years (AHR = 2.51, 95% CI: 1.04, 6.08), patients sustained blunt trauma (AHR = 3.28, 95% CI: 1.30, 8.29) and MVA (AHR = 2.96, 95% CI: 1.18, 7.43), trauma occurred at night time (AHR = 2.29, 95% CI: 1.15, 4.56), ASA physical status ≥ III (AHR = 3.84, 95% CI: 1.88, 7.82), and blood transfusion (AHR = 2.01, 95% CI: 1.08, 3.74) were identified as a significant predictor for perioperative mortality among trauma patients. In this trauma cohort, it was demonstrated that perioperative mortality is a healthcare burden. Risk factors for perioperative mortality among trauma patients were old age, patients sustaining blunt trauma and motor vehicle accidents, injuries at night, higher ASA physical status, and blood transfusion. Trauma care services need improvement in pre-hospital and perioperative care.

PMID:38129464 | DOI:10.1038/s41598-023-50101-8

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Nevin Manimala Statistics

SLEEP quality in patients with psoriatic arthritis and its relationship with disease activity and comorbidities: a cross-sectional study

Sci Rep. 2023 Dec 21;13(1):22927. doi: 10.1038/s41598-023-48723-z.

ABSTRACT

The assessment of psoriatic arthritis is complex and multidimensional. It is increasingly common to include the patient perspective using patient-reported outcomes. Although some research has explored sleep quality in patients with psoriatic arthritis, most studies have had small sample sizes, failed to assess sleep quality considering the inflammatory process together with the psychological well-being of patients, and have not described any use of sleep medication. Further, research to date has not provided data on the relationship of sleep quality with axial forms. In this context, the objective of this study was to assess sleep quality in patients with psoriatic arthritis and its relationship with clinical characteristics, disease activity, functioning, disease impact, fatigue and psychological status. A cross-sectional study was conducted including 247 consecutive patients with PsA recruited during 2021. Sleep quality was measured using the Pittsburgh Sleep Quality Index. We assessed correlations of Pittsburgh Sleep Quality Index score with peripheral disease activity (Disease Activity Index for PSoriatic Arthritis), axial disease activity (Ankylosing Spondylitis Disease Activity Score-C-reactive protein and Bath Ankylosing Spondylitis Disease Activity Index), functioning (Bath Ankylosing Spondylitis Functional Index and Health Assessment Questionnaire), impact (Psoriatic Arthritis Impact of Disease questionnaire), anxiety, depression (Hospital Anxiety and Depression Scale) and fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue) scores. A multiple linear regression model was constructed with PSQI as the dependent variable and as independent variables those that could influence sleep quality. Nearly two-thirds (63.15%) of patients had poor sleep quality. Poorer sleep quality was associated with being female, higher joint counts, greater peripheral and axial disease activity, fatigue, anxiety and depression, functioning and disease impact (p < 0.001). Multiple linear regression analysis found that pain (β: 0.3; p < 0.007) and fatigue β: – 0.1; p < 0.001 contributed 40% to the sleep quality model. Poor sleep quality was common among patients with psoriatic arthritis. Emotional factors (fatigue, anxiety) seemed more important than inflammatory factors in sleep quality.

PMID:38129461 | DOI:10.1038/s41598-023-48723-z

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Nevin Manimala Statistics

Identification of differences in CD4+ T-cell gene expression between people with asthma and healthy controls

Sci Rep. 2023 Dec 20;13(1):22796. doi: 10.1038/s41598-023-49135-9.

ABSTRACT

Functional enrichment analysis of genome-wide association study (GWAS)-summary statistics has suggested that CD4+ T-cells play an important role in asthma pathogenesis. Despite this, CD4+ T-cells are under-represented in asthma transcriptome studies. To fill the gap, 3′-RNA-Seq was used to generate gene expression data on CD4+ T-cells (isolated within 2 h from collection) from peripheral blood from participants with well-controlled asthma (n = 32) and healthy controls (n = 11). Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify sets of co-expressed genes (modules) associated with the asthma phenotype. We identified three modules associated with asthma, which are strongly enriched for GWAS-identified asthma genes, antigen processing/presentation and immune response to viral infections. Through integration of publicly available eQTL and GWAS summary statistics (colocalisation), and protein-protein interaction (PPI) data, we identified PTPRC, a potential druggable target, as a putative master regulator of the asthma gene-expression profiles. Using a co-expression network approach, with integration of external genetic and PPI data, we showed that CD4+ T-cells from peripheral blood from asthmatics have different expression profiles, albeit small in magnitude, compared to healthy controls, for sets of genes involved in immune response to viral infections (upregulated) and antigen processing/presentation (downregulated).

PMID:38129444 | DOI:10.1038/s41598-023-49135-9

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Nevin Manimala Statistics

Cervical vestibular evoked myogenic potential (cVEMP) findings in adults with sensorineural hearing loss (SNHL): comparisons between 500 Hz tone burst and narrowband CE-Chirp stimuli

Sci Rep. 2023 Dec 21;13(1):22842. doi: 10.1038/s41598-023-48810-1.

ABSTRACT

There has been a growing interest in studying the usefulness of chirp stimuli in recording cervical vestibular evoked myogenic potential (cVEMP) waveforms. Nevertheless, the study outcomes are debatable and require verification. In view of this, the aim of the present study was to compare cVEMP results when elicited by 500 Hz tone burst and narrowband (NB) CE-Chirp stimuli in adults with sensorineural hearing loss (SNHL). Fifty adults with bilateral SNHL (aged 20-65 years) underwent the cVEMP testing based on the established protocol. The 500 Hz tone burst and NB CE-Chirp (centred at 500 Hz) stimuli were presented to each ear at an intensity level of 120.5 dB peSPL. P1 latency, N1 latency, and P1-N1 amplitude values were analysed accordingly. The NB CE-Chirp stimulus produced significantly shorter P1 and N1 latencies (p < 0.001) with large effect sizes (d > 0.80). In contrast, both stimuli elicited cVEMP responses with P1-N1 amplitude values that were not statistically different from one another (p = 0.157, d = 0.15). Additionally, age and hearing level were found to be significantly correlated (r = 0.56, p < 0.001), as were age and cVEMP amplitude for each stimulus (p < 0.001). To conclude, since both stimuli were presented at an equivalent intensity level (in dB peSPL), the shorter P1 and N1 latencies of cVEMP produced by the NB CE-Chirp stimulus (centred at 500 Hz) were unlikely due to enhanced saccular stimulation. Another more sensible reason is the temporal adjustment of the chirp stimulus.

PMID:38129442 | DOI:10.1038/s41598-023-48810-1

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Nevin Manimala Statistics

Comparison of markerless and marker-based motion capture systems using 95% functional limits of agreement in a linear mixed-effects modelling framework

Sci Rep. 2023 Dec 18;13(1):22880. doi: 10.1038/s41598-023-49360-2.

ABSTRACT

Biomechanics analysis of human movement has been proven useful for maintenance of health, injury prevention, and rehabilitation in both sports and clinical populations. A marker-based motion capture system is considered the gold standard method of measurement for three dimensional kinematics measurements. However, the application of markers to anatomical bony points is a time consuming process and constrained by inter-, intra-tester and session reliability issues. The emergence of novel markerless motion capture systems without the use of reflective markers is a rapidly growing field in motion analysis. However an assessment of the level of agreement of a markerless system with an established gold standard marker-based system is needed to ensure the applicability of a markerless system. An extra layer of complexity is involved as the kinematics measurements are functional responses. In this paper a new approach is proposed to generate 95% functional limits of agreement (fLoA) using the linear mixed-effects modelling framework for hierarchical study designs. This approach is attractive as it will allow practitioners to extend their use of linear mixed models to assess agreement in method comparison studies in all domains where functional responses are recorded.

PMID:38129434 | DOI:10.1038/s41598-023-49360-2

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Nevin Manimala Statistics

BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients

Sci Rep. 2023 Dec 18;13(1):22874. doi: 10.1038/s41598-023-48486-7.

ABSTRACT

Heart failure (HF) is a leading cause of mortality worldwide. Machine learning (ML) approaches have shown potential as an early detection tool for improving patient outcomes. Enhancing the effectiveness and clinical applicability of the ML model necessitates training an efficient classifier with a diverse set of high-quality datasets. Hence, we proposed two novel hybrid ML methods ((a) consisting of Boosting, SMOTE, and Tomek links (BOO-ST); (b) combining the best-performing conventional classifier with ensemble classifiers (CBCEC)) to serve as an efficient early warning system for HF mortality. The BOO-ST was introduced to tackle the challenge of class imbalance, while CBCEC was responsible for training the processed and selected features derived from the Feature Importance (FI) and Information Gain (IG) feature selection techniques. We also conducted an explicit and intuitive comprehension to explore the impact of potential characteristics correlating with the fatality cases of HF. The experimental results demonstrated the proposed classifier CBCEC showcases a significant accuracy of 93.67% in terms of providing the early forecasting of HF mortality. Therefore, we can reveal that our proposed aspects (BOO-ST and CBCEC) can be able to play a crucial role in preventing the death rate of HF and reducing stress in the healthcare sector.

PMID:38129433 | DOI:10.1038/s41598-023-48486-7

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Nevin Manimala Statistics

Untangling adaptive functioning of PMM2-CDG across age and its impact on parental stress: a cross-sectional study

Sci Rep. 2023 Dec 20;13(1):22783. doi: 10.1038/s41598-023-49518-y.

ABSTRACT

Phosphomannomutase deficiency (PMM2-CDG) leads to cerebellar atrophy with ataxia, dysmetria, and intellectual deficits. Despite advances in therapy, the cognitive and adaptive profile remains unknown. Our study explores the adaptive profile of 37 PMM2-CDG patients, examining its association with parental stress and medical characteristics. Assessment tools included ICARS for the cerebellar syndrome and NPCRS for global disease severity. Behavioral and adaptive evaluation consisted of the Vineland Adaptive Behavior Scale and the Health of the Nation Outcome Scales. Psychopathological screening involved the Child Behavior Checklist and the Symptom Check-List-90-R. Parental stress was evaluated using Parental Stress Index. Results were correlated with clinical features. No significant age or sex differences were found. ‘Daily living skills’ were notably affected. Patients severely affected exhibited lower adaptive skill values, as did those with lipodystrophy and inverted nipples. Greater severity in motor cerebellar syndrome, behavioral disturbances and the presence of comorbidities such as hyperactivity, autistic features and moderate-to-severe intellectual disability correlated with greater parental stress. Our study found no decline in adaptive abilities. We provide tools to assess adaptive deficits in PMM2-CDG patients, emphasizing the importance of addressing communication, daily living skills, and autonomy, and their impact on parental stress in clinical monitoring and future therapies.

PMID:38129426 | DOI:10.1038/s41598-023-49518-y

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Nevin Manimala Statistics

Mir-142-3P regulates MAPK protein family by inhibiting 14-3-3η to enhance bone marrow mesenchymal stem cells osteogenesis

Sci Rep. 2023 Dec 21;13(1):22862. doi: 10.1038/s41598-023-48950-4.

ABSTRACT

Clinical studies have found 14-3-3η to be associated with osteoporosis through undefined mechanisms. We aimed to investigate the role of 14-3-3η in osteoporosis and its potential associations with miRNAs. The Gene Expression Omnibus(GEO) and Human Protein Atlas 1 databases were analyzed to examine both the mRNA and protein expression of 14-3-3η in OP. Gene enrichment analyses were performed to explore the underlying mechanism of 14-3-3η based on DAVID. miRWalk was used to predict the associated miRNAs. The statistics were analysed by R software and SPSS software. 14-3-3η was overexpressed and knock down expressed in BMSCs by lentiviral vector transfecting. And BMSCs were induced by hypoxia. qRT-PCR and Western-Blot verified the expression of mRNA and protein. Scratch assay detected the migration of osteocytes. Co-immunoprecipitation and luciferase assay studied the 14-3-3η targeted protein and miRNA. overexpression and knock down of miRNA to verify the relationship of 14-3-3η and target genes. The 14-3-3η mRNA expression level was low in patients with osteoporosis, as corroborated by immunohistochemical staining images. Functional analyses revealed enrichment of the MAPK-associated cascade. 14-3-3η was correlated with MAPK family proteins and five key miRNAs, including mir-142-3p. In addition, 14-3-3η knockdown in BMSCs increased the mRNA and protein expression levels of Hif-α, VEGF, BMP-2, OPN, OST, and Runx2, and enhanced the cells migration ability. Under hypoxic conditions, Hif-α and BMP-2 protein expression levels were upregulated, whereas those of 14-3-3η and MAPK3 were downregulated. Co-immunoprecipitation experiments showed decreased binding of 14-3-3η to MAPK3. 14-3-3η knockdown produced the same results as hypoxia induction. Adding caspase3 inhibitor and knocking down 14-3-3η again prevented MAPK3 cleavage by caspase3 and inhibited BMP-2 expression. Moreover, under hypoxic conditions, miR-142-3P expression was upregulated and luciferase assays revealed 14-3-3η as its target gene. miR-142-3P overexpression decreased mRNA and protein levels of 14-3-3η and MAPK3, while increasing BMP-2 expression. miR-142-3P knockdown reversed these results. BMSC osteogenesis was suppressed by 14-3-3η, whereas miRNA-142-3p promoted it through the inhibition of 14-3-3η.

PMID:38129425 | DOI:10.1038/s41598-023-48950-4

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Nevin Manimala Statistics

Significance of LHCGR polymorphisms in polycystic ovary syndrome: an association study

Sci Rep. 2023 Dec 21;13(1):22841. doi: 10.1038/s41598-023-48881-0.

ABSTRACT

This study was conducted to analyze the association of Luteinizing Hormone/Choriogonadotropin Receptor (LHCGR) gene rs4953616 and rs7371084 polymorphisms with the risk of polycystic ovary syndrome (PCOS) in Punjab, India. A total of 823 women (443 PCOS cases and 380 healthy controls) were enrolled in the present study. The polymerase chain reaction-restriction fragment length polymorphism technique (PCR-RFLP) was used for genotyping. Anthropometric parameters, lipid and hormonal profiles, were compared between the two groups. Demographic features were compared using Mann Whitney U test while the Chi-square test and odds ratios (ORs) were used to assess the genetic association and risk towards PCOS, respectively. A one-way analysis of variance (ANOVA) test was employed to analyze the correlation of genotypes with baseline parameters in PCOS cases. A statistically significant difference was revealed in the genotypic and allelic frequencies of rs4953616 polymorphism between PCOS cases and controls (p = 0.01 and p = 0.004, respectively). The mutant genotype (TT), mutant allele (T), and recessive model of rs4953616 polymorphism conferred 1.77, 1.3, and 1.5 times risk towards PCOS, respectively. No significant distribution for genotypes and alleles was found for rs7371084 in both groups (p = 0.25 and p = 0.26, respectively). In addition to dyslipidemia, PCOS women also had significantly higher body mass index (BMI) and waist-to-hip ratio (WHR), testosterone (T), and luteinizing hormone (LH). Upon haplotype analysis, the TT haplotype was found to be significantly associated with the increased risk of PCOS. Our results demonstrated a significant role of LHCGR rs4953616 polymorphism in the development of PCOS.

PMID:38129424 | DOI:10.1038/s41598-023-48881-0

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Nevin Manimala Statistics

Stoichiometry validation of supramolecular complexes with a hydrocarbon cage host by van ‘t Hoff analyses

Nat Commun. 2023 Dec 21;14(1):8246. doi: 10.1038/s41467-023-43979-5.

ABSTRACT

Defining chemical processes with equations is the first important step in characterizing equilibria for the assembly of supramolecular complexes, and the stoichiometry of the assembled components must be defined to generate the equation. Recently, this subject has attracted renewed interest, and statistical and/or information-theoretic measures were introduced to examine the validities of the equilibrium models used during curve fitting analyses of titration. The present study shows that these measures may not always be appropriate for credibility examinations and that further reformation of the protocols used to determine the overall stoichiometry is necessary. Hydrocarbon cage hosts and their chloroform complexes formed via weak CH-π hydrogen bonds were studied, which allowed us to introduce van ‘t Hoff analyses for effective validation of the stoichiometries of supramolecular complexes. This study shows that the stoichiometries of supramolecular complexes should be carefully examined by adopting multiple measures with different origins.

PMID:38129419 | DOI:10.1038/s41467-023-43979-5