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Nevin Manimala Statistics

Early-Term Results of Rapid-Deployment Aortic Valve Replacement versus Standard Bioprosthesis Implantation Combined with Coronary Artery Bypass Grafting

Thorac Cardiovasc Surg. 2022 Feb 12. doi: 10.1055/s-0042-1742686. Online ahead of print.

ABSTRACT

OBJECTIVES: Aortic stenosis is highly prevalent among patients with concomitant coronary artery disease. Surgical aortic valve replacement with coronary artery bypass grafting is usually the treatment of choice for patients with severe aortic stenosis and significant coronary disease. The aim of this study was to evaluate the outcome and hemodynamic results of the implantation of rapid-deployment valves (Rapid-Deployment Edwards Intuity Valve System [RDAVR]) versus conventional sutured valves (CSAVR) in combined surgery.

METHODS: Between January 2012 and January 2017, 120 patients underwent replacement via RDAVR and 133 patients underwent replacement using CSAVR with concomitant coronary bypass grafting. Clinical and echocardiographic data were compared.

RESULTS: The mean age was 76 ± 7 for RDAVR patients and 74 ± 6 years for CSAVR patients (p = 0.054); 48% in the RDAVR group were female versus 17% in the CSAVR group (p <0.002). Other characteristics such as diabetes mellitus, body-mass index, chronic obstructive pulmonary disease, nicotine consumption, and extracardiac arteriopathy were similar. Coronary three-vessel disease was more common in the RDAVR group (42.5 vs. 27.8%, p = 0.017). Both mean EuroSCORE II (6.6 ± 5.4 vs. 4.3 ± 3.0, p = 0.001) and STS score (5.4 ± 4.4 vs. 3.4 ± 2.4, p = 0.001) were significantly higher in the RDAVR group. Mean cross-clamp time (82 ± 25 vs. 100 ± 30 minutes, p < 0.001) and cardiopulmonary bypass time (119 ± 38 vs. 147 ± 53 minutes, p < 0.001) were shorter with RDAVR. The mean number of bypass grafts, length of hospital and ICU stays, and mechanical ventilation time were not statistically significant different. Hospital mortality was 2.5% for RDAVR and 9.7% for CSAVR (p = 0.019). There was a similar rate of stroke (5.8 vs. 6.0%, p = 0.990) and postoperative delirium (14.1 vs. 15.8%, p = 0.728). Mean gradients were 8.2 ± 4.1 mm Hg in the RDAVR group vs. 11.3 ± 4.6 mm Hg in the CSAVR group (p = 0.001) at discharge.

CONCLUSION: RDAVR combined with coronary artery bypass grafting (CABG) can be performed extremely safely. Cross-clamp and cardiopulmonary bypass times can be significantly reduced with rapid deployment aortic valve system in the scenario of combined CABG. RDAVR resulted in lower gradients than CSAVR in patients implanted with prostheses of the same size.

PMID:35151232 | DOI:10.1055/s-0042-1742686

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Nevin Manimala Statistics

Transcriptome analysis method based on differential distribution evaluation

Brief Bioinform. 2022 Feb 13:bbab608. doi: 10.1093/bib/bbab608. Online ahead of print.

ABSTRACT

Identifying differential genes over conditions provides insights into the mechanisms of biological processes and disease progression. Here we present an approach, the Kullback-Leibler divergence-based differential distribution (klDD), which provides a flexible framework for quantifying changes in higher-order statistical information of genes including mean and variance/covariation. The method can well detect subtle differences in gene expression distributions in contrast to mean or variance shifts of the existing methods. In addition to effectively identifying informational genes in terms of differential distribution, klDD can be directly applied to cancer subtyping, single-cell clustering and disease early-warning detection, which were all validated by various benchmark datasets.

PMID:35151228 | DOI:10.1093/bib/bbab608

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Nevin Manimala Statistics

A Comparison of Methods to Detect Changes in Prediction Models

Methods Inf Med. 2022 Feb 12. doi: 10.1055/s-0042-1742672. Online ahead of print.

ABSTRACT

BACKGROUND: Prediction models inform decisions in many areas of medicine. Most models are fitted once and then applied to new (future) patients, despite the fact that model coefficients can vary over time due to changes in patients’ clinical characteristics and disease risk. However, the optimal method to detect changes in model parameters has not been rigorously assessed.

METHODS: We simulated data, informed by post-lung transplant mortality data and tested the following two approaches for detecting model change: (1) the “Direct Approach,” it compares coefficients of the model refit on recent data to those at baseline; and (2) “Calibration Regression,” it fits a logistic regression model of the log-odds of the observed outcomes versus the linear predictor from the baseline model (i.e., the log-odds of the predicted probabilities obtained from the baseline model) and tests whether the intercept and slope differ from 0 and 1, respectively. Four scenarios were simulated using logistic regression for binary outcomes as follows: (1) we fixed all model parameters, (2) we varied the outcome prevalence between 0.1 and 0.2, (3) we varied the coefficient of one of the ten predictors between 0.2 and 0.4, and (4) we varied the outcome prevalence and coefficient of one predictor simultaneously.

RESULTS: Calibration regression tended to detect changes sooner than the Direct Approach, with better performance (e.g., larger proportion of true claims). When the sample size was large, both methods performed well. When two parameters changed simultaneously, neither method performed well.

CONCLUSION: Neither change detection method examined here proved optimal under all circumstances. However, our results suggest that if one is interested in detecting a change in overall incidence of an outcome (e.g., intercept), the Calibration Regression method may be superior to the Direct Approach. Conversely, if one is interested in detecting a change in other model covariates (e.g., slope), the Direct Approach may be superior.

PMID:35151231 | DOI:10.1055/s-0042-1742672

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Nevin Manimala Statistics

Substantial decrease in preeclampsia prevalence and risk over two decades: A population-based study of 1,153,227 deliveries in Norway

Pregnancy Hypertens. 2022 Feb 8;28:21-27. doi: 10.1016/j.preghy.2022.02.001. Online ahead of print.

ABSTRACT

OBJECTIVES: Analyze secular trends of preeclampsia in Norway based on risk factors.

STUDY DESIGN: Population-based cohort study of 1,153,227 women using data from Medical Birth Registry of Norway from 1999 to 2018. Aggregated data from Norwegian Prescription Database from 2004 to 2018 were used. Main exposure variable was time period. Descriptive statistics identified the prevalence of preeclampsia, labor induction and aspirin use. Multiple logistic regression analysis was performed to estimate the risk of preeclampsia during the time periods.

MAIN OUTCOME MEASURES: Preeclampsia.

RESULTS: Overall preeclampsia prevalence decreased from 4.3% in 1999-2002 to 2.7% in 2015-2018. A reduction was observed in all subgroups of women with known risk factors (age, nulliparity, diabetes, chronic hypertension, assisted reproduction, twin pregnancy). Adjusted risk of preeclampsia was reduced by 44% from 1999-2002 to 2015-2018 (aOR = 0.56, 95%CI 0.54, 0.58), while the net prevalence of gestational hypertension remained stable over the study period. Labor induction increased 104%. Aspirin prescriptions increased among fertile women in the general Norwegian population.

CONCLUSIONS: Preeclampsia prevalence and risk were reduced regardless of risk factors and despite an increased proportion of high-risk parturients (advanced age, lower parity, use of assisted reproduction). A corresponding increase in aspirin prescriptions among fertile women and an overall increase in labor inductions were also observed, suggesting that clinical interventions may partly explain the observed reduction in preeclampsia prevalence. Lower average blood pressure and improved health in the population may also explain some of the reduction.

PMID:35151209 | DOI:10.1016/j.preghy.2022.02.001

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Nevin Manimala Statistics

Mesenchymal-epithelial transition factor (MET) immunoreactivity in positive sentinel nodes from patients with melanoma

Ann Diagn Pathol. 2022 Feb 7;58:151909. doi: 10.1016/j.anndiagpath.2022.151909. Online ahead of print.

ABSTRACT

OBJECTIVE: Patients with cutaneous melanoma and a positive sentinel node (SN) are currently eligible for adjuvant treatment with targeted therapy and immune checkpoint inhibitors. Near-infrared (NIR) fluorescence imaging could be an alternative and less invasive tool for SN biopsy to select patients for adjuvant treatment. One potential target for NIR is the mesenchymal-epithelial transition factor (MET). This study aimed to assess MET immunoreactivity in positive SNs and to evaluate its potential diagnostic, prognostic and therapeutic value.

METHODS: In this retrospective study, positive SN samples from patients with primary cutaneous melanoma were collected to assess MET immunoreactivity. To this end, paraffin-embedded SNs were stained for MET (monoclonal antibody D1C2). A 4-point Histoscore was used to determine cytoplasmic and membranous immunoreactivity (0 negative/1 weak/2 moderate/3 strong). Samples were considered positive when ≥10% of the cancer cells showed MET expression (staining intensity ≥1). Patient and clinicopathological characteristics were used for descriptive statistics, binary logistic regression, and survival analyses.

RESULTS: Positive MET immunohistochemistry was observed in 24 out of 37 samples (65%). No statistically significant associations were found between MET positivity and the following prognostic factors: Breslow thickness (P = 0.961), ulceration (P = 1.000), and SN tumor burden (P = 0.792). According to MET positivity, Kaplan-Meier curves showed no significant differences in survival.

CONCLUSION: This exploratory study found no evidence to support MET immunoreactivity in positive SNs as a possible diagnostic or prognostic indicator in patients with melanoma.

PMID:35151198 | DOI:10.1016/j.anndiagpath.2022.151909

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Nevin Manimala Statistics

Insights into cell classification based on combination of multiple cellular mechanical phenotypes by using machine learning algorithm

J Mech Behav Biomed Mater. 2022 Jan 19;128:105097. doi: 10.1016/j.jmbbm.2022.105097. Online ahead of print.

ABSTRACT

Although cellular elastic property (CEP, also known as cellular elastic modulus) has been frequently reported as a biomarker to distinguish some cancerous cells from their benign counterparts, it cannot be adopted as a universal hallmark to be applied to every kind cell. In the present study, we report that insignificant difference is observed between normal gastric cell and its cancer counterpart which is one of the common human malignancies, in terms of CEP statistical distribution. In this regard, we propose multiple cellular mechanical phenotypes (CMPs) to differentiate the above two cell types, which is realized by machine learning algorithm (MLA). The results show that the cellular classification effect proves better with more CMPs adopted, regardless of the exact MLA employed. Moreover, the MLA-based method remains effective if we add two more cell lines to the above two cell categories. Our study indicates that MLA-based cellular classification can potentially serve as an efficient and objective means to assist or even validate cancer prognostics.

PMID:35151180 | DOI:10.1016/j.jmbbm.2022.105097

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Nevin Manimala Statistics

Altered gene expression levels of genes related to muscle function in adults with cerebral palsy

Tissue Cell. 2022 Jan 29;76:101744. doi: 10.1016/j.tice.2022.101744. Online ahead of print.

ABSTRACT

Cerebral palsy (CP) is the most common cause of movement disorders in children. Next generation sequencing (NGS) studies have previously shown that expression levels are fundamentally different in children with CP compared to typically developing (TD). However, given that children are in full development, we might expect gene expression levels to change once maturity is reached. Therefore, the main purpose of this study was to investigate gene expression levels of 93 target genes in adults with CP using NGS on muscle biopsies of the gastrocnemius, taken from 22 participants (n = 12 adults with CP; n = 10 TD adults). Subsequently, we carried out NGS of the mitochondrial genome to identify mtDNA variants, and additionally we studied the mitochondrial content using transmission electron microscopy images of the gastrocnemius muscle. Finally, we compared systemic ion levels between TD adults and adults with CP. Differential gene expression levels were found in genes involved in muscle contraction (MYH1 and MYBPC2), mitochondrial function kATP5J, CYCS and NDUFB6), calcium handling (CAMK2B and ATP2A), metabolism (LPL), muscle signaling (MYC, CREB1, ACVR2B, LMNA and TRIM54), and ECM (TNC). There was no statistical significant difference between CP and TD for mtDNA variant frequencies and mitochondrial content. The ion levels of Ca2+, Na+ and K+ were statistically significantly reduced while the Cl levels were significant increased in adults with CP compared to TD adults. These results highlight that most transcriptional differences are related to muscle function in adults with CP and that mitochondrial function might be altered but not mitochondrial content.

PMID:35151178 | DOI:10.1016/j.tice.2022.101744

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Nevin Manimala Statistics

Understanding the mental health effects of instability in the private rental sector: A longitudinal analysis of a national cohort

Soc Sci Med. 2022 Feb 5;296:114778. doi: 10.1016/j.socscimed.2022.114778. Online ahead of print.

ABSTRACT

Using a population-based longitudinal dataset in Australia over nearly 20 years, this study examines the impact of tenure instability on mental health and psychological distress among a low-income working-age population. The analysis compares private renters (who are notable for their relative tenure insecurity in the Australian context) and homeowners with similar sociodemographic characteristics. To enhance group comparability and address the presence of time-varying covariates that confound and mediate the relationship between tenure exposure and mental health, marginal structural models were used applying weights estimated cumulatively over time. The results show that while private rental tenants report worse mental health than homeowners initially (mental health difference: Beta = -5.29, 95%CI -7.61 to -2.97; psychological distress difference: Beta = 1.77, 95%CI 0.55 to 2.99), this difference diminishes to become statistically indistinguishable by 5-6 years of occupancy (mental health difference at year 6: Beta = -2.09, 95%CI -4.31 to 0.13, predicted mental health increases: from 65.06 to 69.83 for private renters and from 70.46 to 72.02 for homeowners; psychological distress difference at year 5: Beta = 0.81, 95%CI -0.09 to 1.71, predicted psychological distress decreases: from 19.85 to 18.04 for private renters and from 17.95 to 17.10 for homeowners). Residential stability is particularly beneficial for private renters in early middle adulthood (35-44 years), with each additional year of stable occupancy for private renters correlated with a 0.99 (95%CI 0.46 to 1.53) increase in mental health and a -0.47 (95%CI -0.69 to -0.24) decrease in psychological distress. The findings provide evidence that stable and secure rental tenure is protective of mental health, and the mental health of stable renters becomes comparable to that of homeowners over time. This adds support for housing policies that promote and improve the stability and security of rental tenure.

PMID:35151148 | DOI:10.1016/j.socscimed.2022.114778

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Nevin Manimala Statistics

Effect of intravascular dexamethasone injection after powered intracapsular tonsillectomy and adenoidectomy in children

Am J Otolaryngol. 2022 Feb 2;43(2):103385. doi: 10.1016/j.amjoto.2022.103385. Online ahead of print.

ABSTRACT

PURPOSE: To compare postoperative pain, nausea and vomiting, and bleeding between intravascular dexamethasone injection group and control group among children undergoing powered intracapsular tonsillectomy and adenoidectomy (PITA).

MATERIALS AND METHODS: Retrospective review of medical records was performed for pediatric patients who underwent PITA from March 1, 2017, to February 28, 2021, at a tertiary referral medical center in South Korea. Postoperative pain and nausea were measured using the visual analogue scale (VAS) from the postoperative day (POD) 0 to POD 6. The number of analgesics administered and the number of vomiting episodes were recorded in the same period. The repeatedly measured parameters were statistically analyzed between the dexamethasone group and control group.

RESULTS: A total of 71 children with complete questionnaires including 44 boys and 27 girls were included, and the mean age was 7.49 ± 2.44 years. There were 33 patients in the dexamethasone group and 38 in the control group. Postoperative pain (p = 0.169) or nausea (p = 0.460) on the VAS showed no statistically significant difference between the two groups. Postoperative analgesics showed no difference between the groups (p = 0.398), and neither did postoperative vomiting (p = 0.270). In both groups, no child showed signs of postoperative bleeding.

CONCLUSIONS: This study indicates that the beneficial effects of intravascular dexamethasone administration in PITA may not be evident. This might be due to the superior outcome of the PITA technique compared to total extracapsular tonsillectomy. Therefore, otolaryngologists performing PITA may not necessarily need to administer dexamethasone in children before surgery.

PMID:35151175 | DOI:10.1016/j.amjoto.2022.103385

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Nevin Manimala Statistics

Usability of classic and specific bioelectrical impedance vector analysis in measuring body composition of children

Clin Nutr. 2022 Jan 29;41(3):673-679. doi: 10.1016/j.clnu.2022.01.021. Online ahead of print.

ABSTRACT

In this study, we aimed to analyse the relationship between body composition and bioelectrical variables in children and adolescents. The sample was composed of 6801 individuals (4035 males; 2766 females) aged 8-20 years included in the National Health and Nutrition Examination Survey (NHANES) years 1999-2004. Classic and specific bioelectrical impedance vector analysis (BIVA) were applied and compared with dual-energy X-ray absorptiometry (DXA) for the evaluation of fat mass (FM) and fat-free mass (FFM), and bioimpedance spectroscopy (BIS) for the evaluation of intra-cellular water (ICW), extra-cellular water (ECW), and total body water (TBW). Fat-free mass index (FFMI) was calculated. Spearman’s correlation, regression, and depth-depth analyses were applied. The evaluation of body composition with BIVA agreed well with that of DXA or BIS, independently of sex, age, and ethnicity: classic BIVA was mostly sensitive to differences in TBW, ECW/ICW, whereas specific BIVA to differences in %FM, FFMI, and ECW/ICW. The depth-depth analysis confirmed the associations of classic BIVA (coeff. 0.500, p < 0.001), and specific BIVA (coeff. 0.512, p < 0.001), also considering the significant effect of age (p < 0.001). In classic BIVA the association was slightly stronger in females (by 0.03, p = 0.042) and among Blacks (0.06, p = 0.002), whereas in specific BIVA it was stronger by 0.06 (p < 0.001) in females and similar among ethnic groups. The combined use of the two BIVA approaches represents a valuable tool for complete evaluation of body composition in growth studies, for the prevention and monitoring of malnutrition, and the monitoring of the performance in young athletes.

PMID:35151123 | DOI:10.1016/j.clnu.2022.01.021