Tag: pubmed

J Vasc Surg Venous Lymphat Disord. 2021 Dec 6:S2213-333X(21)00594-1. doi: 10.1016/j.jvsv.2021.11.006. Online ahead of print.

ABSTRACT

OBJECTIVES: To evaluate the effect of the learning curve on percutaneous thrombectomy (PT) outcomes for the treatment of lower extremity deep vein thrombosis (DVT).

METHODS: The study was conducted between October 2019 and September 2020, with patients who had undergone PT due to lower extremity DVT (common iliac, external iliac, common femoral, femoral and popliteal veins). For thrombectomy, aspiration and mechanical thrombectomy procedures were performed until the thrombus was completely dissolved by Dovi (aspiration system) and MANTIS (mechanical thrombectomy system) (INVAMED, Ankara, Turkey). A total of 80 patients were divided equally into 4 groups, with the first 20 cases in Group 1, the second group being the subsequent 20 cases and the final 20 cases in Group 4. Groups were compared for demographic characteristics, intraoperative outcomes, complication rate, and success of procedures.

RESULTS: All demographic parameters were similar between groups. The mean operation time was 139.3 min for group 1, 134.8 min for group 2, 111.3 min for group 3 and 106.7 min for group 4, and statistical analysis revealed that operation time was significantly shorter for group 3 and group 4 in comparison with group 1 and group 2. In addition, fluoroscopy time was significantly decreased in group 3 and group 4 (p= 0.001). Complication rate was similar between the groups (p= 0. 899). However, success was significantly increased after 20 cases, and the other three groups had significantly higher success rate in comparison with group 1 (70% for group 1, 90% for group 2, 95% for group 3 and 100% for group 4, p= 0.024).

CONCLUSION: Success in performance of percutaneous thrombectomy for treatment of acute lower extremity deep vein thrombosis reaches satisfactory levels after 20 cases. Additionally, operation time and fluoroscopy time are significantly decreased after 40 cases and then start plateau.

PMID:34883270 | DOI:10.1016/j.jvsv.2021.11.006

Forensic Sci Int. 2021 Dec 2;330:111135. doi: 10.1016/j.forsciint.2021.111135. Online ahead of print.

ABSTRACT

When estimating the age of an individual it is critical that 1) age ranges are as narrow as possible while still capturing the true age of the individual with an acceptable frequency, and 2) this frequency is known. When multiple traits are used to produce a single age estimate, the simplest practice is to assume that the traits are conditionally independent from one another given age. Unfortunately, if the traits are correlated once the effect of age is accounted for, the resulting age intervals will be too narrow. The frequency at which the age interval captures the true age of the individual will be decreased below the expected value to some unknown degree. It is therefore critical that age estimation methods that include multiple traits incorporate the possible correlations between them. Moorrees et al. (1963) [1] scores of the permanent mandibular dentition from 2607 individuals between 2 and 23 years were used to produce and cross-validate a cumulative probit model for age estimation with an optimal number of stages for each tooth. Two correction methods for covariance of development between teeth were tested: the variance-covariance matrix for a multivariate normal, and the Boldsen et al. (2002) [2] ad-hoc method. Both correction methods successfully decreased age interval error rates from 21% to 23% in the uncorrected model to the expected value of 5%. These results demonstrate both the efficacy of these correction methods and the need to move away from assuming conditional independence in multi-trait age estimation.

PMID:34883298 | DOI:10.1016/j.forsciint.2021.111135

J Arthroplasty. 2021 Dec 6:S0883-5403(21)00904-9. doi: 10.1016/j.arth.2021.11.039. Online ahead of print.

ABSTRACT

BACKGROUND: There is a paucity of data on blood loss and the risk of allogeneic blood transfusion after simultaneous bilateral total hip arthroplasty (SBTHA) with contemporary blood management including neuraxial anesthesia, routine tranexamic acid (TXA) use, and a restrictive transfusion protocol. As such, we sought to determine the in-hospital outcomes of SBTHA, specifically analyzing blood loss and the rate and risk factors for transfusion.

METHODS: We identified 191 patients that underwent SBTHA at a single institution from 2016-2019. No drains were utilized and no patients donated blood preoperatively. Mean age was 59 years with 96 females (50.3%). The surgical approach was posterior in 138 (72.3%) and direct anterior in 53 (27.7%) patients. We analyzed blood loss, the rate of allogeneic blood transfusions, and in-hospital thromboembolic complications. We analyzed risk factors for transfusion with a logistic regression analysis.

RESULTS: Twenty-two patients (11.5%) underwent allogeneic blood transfusion. All transfused patients were female. Univariate analysis revealed female sex as a transfusion risk factor since it had statistically significant higher proportion in the transfusion group than the non-transfusion group (100% vs. 43.5%, respectively, p<0.001). We did not identify any other singular significant risk factors for transfusion in a multivariable regression analysis. However, females with a preoperative Hgb <12 had an elevated risk of transfusion at 37.5% (15/40 patients).

CONCLUSION: With contemporary perioperative blood management protocols, there is a relatively low (11.5%) risk of a blood transfusion after SBTHA. Females with a lower preoperative Hgb (<12 g/dL) had the highest risk of transfusion at 37.5%.

PMID:34883254 | DOI:10.1016/j.arth.2021.11.039

Microb Pathog. 2021 Dec 6:105340. doi: 10.1016/j.micpath.2021.105340. Online ahead of print.

ABSTRACT

BACKGROUND: Growing evidence implicates the potential effect of microbiota on the pathogenesis and course of epilepsy. However, the effects of valproate (VPA), a broad spectrum anti-epileptic drugs, on gut microbiota have not been investigated in humans. This study aimed to analyze fecal microbiota in patients with epilepsy treated with valproate.

METHODS: A total of 10 participants, who were newly diagnosed of cryptogenic epilepsy with treatment naïve and received 1000 mg daily doses of VPA, were recruited in our prospective study. Microbiota compositions were evaluated at baseline and after three months of VPA treatment using 16S rDNA sequencing.

RESULTS: VPA treatment was associated with clinical improvements in all patients, but not changes in gut microbiota richness and complexity (Shannon: p = 0.82). Microbiome composition structure differences also revealed no statistical difference in dissimilarity (Adonis: p = 0.90). No statistical difference taxa were found between two groups. However, the ratio of phyla Firmicutes to Bacteriodetes (ANOVA: p = 0.037) markedly raised after three months of VPA-treatment. A correlation matrix based on the spearman correlation distance confirmed associations between specific fecal taxa and VPA-related clinical metabolic parameters, including drug concentration in the blood, total cholesterol, triglyceride, lactate dehydrogenase, alanine aminotransferase, aspartate aminotransferase and weight gain. (p < 0.05) CONCLUSIONS: Among those patients treated with VPA, characterization of the gut microbiota altered, and gut microbiota associated with weight gain and clinical biochemical indexes, suggesting that microbiome composition data might involve in the mechanisms of VPA induced metabolic disorder.

PMID:34883229 | DOI:10.1016/j.micpath.2021.105340

J Ethnopharmacol. 2021 Dec 6:114892. doi: 10.1016/j.jep.2021.114892. Online ahead of print.

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: In China, Traditional Chinese medicine (TCM) is often used as the main therapy for cancer-related fatigue (CRF). However, there is limited evidence to prove its therapeutic effect and mechanism.

AIM OF THE STUDY: We aimed to provide a basis for the therapeutic effect of TCM for CRF.

MATERIALS AND METHODS: We performed a meta-analysis to investigate the efficacy of TCM treatment for CRF. Through frequency statistics and association rule mining, we screened the core Chinese medicine components, Astragalus mongholicus Bunge., root (Radix astragali, Huangqi) and Atractylodes macrocephala Koidz., rhizome (Rhizoma atractylodis macrocephalae, Baizhu). We then used animal experiments to verify the effectiveness of these two TCMs and changes in related indicators in mice. Relevant molecular mechanisms were explored through network pharmacological analysis.

RESULTS: Twenty-four randomised control trials (RCTs) involving 1865 patients were included in the meta-analysis. TCM produced more positive effects on CRF than standard therapy alone. Radix astragali and Rhizoma atractylodis macrocephalae, as the core drug pair for the treatment of CRF, enhanced the physical fitness of mice; reduced abdominal circumference, level of inflammatory factors, and tumour weight; and increased body weight and blood sugar. Network pharmacology analysis showed that the mechanism of action of Radix astragali and Rhizoma atractylodis macrocephalae on CRF mainly involved compounds, such as quercetin, kaempferol and luteolin, acting through multiple targets, such as Protein kinase B α (AKT1), Tumour necrosis factor (TNF), and Interleukin-6 (IL-6). These molecules regulate cytokines, cancer signalling, and metabolic pathways and confer an anti-CRF effect.

CONCLUSIONS: TCM may be a promising therapy to relieve CRF in cancer patients. Our research may provide a reference for the clinical application of TCM for treating CRF.

PMID:34883219 | DOI:10.1016/j.jep.2021.114892

Resuscitation. 2021 Dec 6:S0300-9572(21)00505-0. doi: 10.1016/j.resuscitation.2021.11.039. Online ahead of print.

ABSTRACT

AIM: Mathematical optimization of automated external defibrillator (AED) placement has demonstrated potential to improve survival of out-of-hospital cardiac arrest (OHCA). Existing models mostly aim to improve accessibility based on coverage radius and do not account for detailed impact of delayed defibrillation on survival. We aimed to predict OHCA survival based on time to defibrillation and developed an AED placement model to directly maximize the expected survival rate.

METHODS: We stratified OHCAs occurring in Singapore (2010 to 2017) based on time to defibrillation and developed a regression model to predict the Utstein survival rate. We then developed a novel AED placement model, the maximum expected survival rate (MESR) model. We compared the performance of MESR with a maximum coverage model developed for Canada that was shown to be generalizable to other settings (Denmark). The survival gain of MESR was assessed through 10-fold cross-validation for placement of 20 to 1000 new AEDs in Singapore. Statistical analysis was performed using χ² and McNemar’s tests.

RESULTS: During the study period, 15,345 OHCAs occurred. The power-law approximation with R² of 91.33% performed best among investigated models. It predicted a survival of 54.9% with defibrillation within the first two minutes after collapse that was reduced by more than 60% without defibrillation within the first 4 minutes. MESR outperformed the maximum coverage model with P-value <0.05 (<0.0001 in 22 of 30 experiments).

CONCLUSION: We developed a novel AED placement model based on the impact of time to defibrillation on OHCA outcomes. Mathematical optimization can improve OHCA survival.

PMID:34883217 | DOI:10.1016/j.resuscitation.2021.11.039

Diabetes Res Clin Pract. 2021 Sep 14:109049. doi: 10.1016/j.diabres.2021.109049. Online ahead of print.

ABSTRACT

OBJECTIVES: To estimate the prevalence of pre-existing diabetes in pregnancy from studies published during 2010-2020.

METHODS: We searched PubMed, CINAHL, Scopus and other sources for relevant data sources. The prevalence of overall pre-existing, type 1 and type 2 diabetes, by country, region and period of study was synthesised from included studies using inverse-variance heterogeneity models and the Freeman-Tukey transformation. Heterogeneity was assessed using the I² statistic and publication bias using funnel plots.

RESULTS: We identified 2479 records, of which 42 data sources, with a total of 78 943 376 women, met the eligibility criteria. The included studies were from 17 countries in North America, Europe, the Middle East and North Africa, Australasia, Asia and Africa. The lowest prevalence was in Europe (0.5%, 95%CI 0.4 – 0.7) and the highest in the Middle East and North Africa (2.4%, 95%CI 1.5-3.1). The prevalence of pre-existing diabetes doubled from 0.5% (95%CI 0.1-1.0) to 1.0% (95%CI 0.6-1.5) during the period 1990-2020. The pooled prevalences of pre-existing type 1 and type 2 diabetes were 0.3% (95%CI 0.2-0.4) and 0.2% (95%CI 0.0-0.9) respectively.

CONCLUSION: While the prevalence of pre-existing diabetes in pregnancy is low, it has doubled from 1990 to 2020.

PMID:34883190 | DOI:10.1016/j.diabres.2021.109049

Bioresour Technol. 2021 Dec 6:126493. doi: 10.1016/j.biortech.2021.126493. Online ahead of print.

ABSTRACT

Genotoxicity-based assessments of vermitechnology for textile-sludge valorization have rarely been attempted. Therefore, waste sanitization and epigenetic stress-regulation efficiency of Eisenia fetida and Eudrilus eugeniae were evaluated in silk (DSPS) and cotton (CPWS) processing sludge-based vermibeds. Vermicomposting resulted in greater C, N, and P recovery than composting. Earthworm population reduced by 6-50% in DSPS/CPWS, while it significantly increased in cow dung (CD) mixed DSPS/CPWS. The Cr, Cd, Pb, and Zn accumulation efficiency of earthworms was higher in DSPS-based feedstocks than CPWS. However, metal-rich sludge elevated oxidative stress, causing greater inhibition of cell viability and DNA damage in Eudrilus than in Eisenia. Although histo-architecture of chloragogenous tissues was perturbed, earthworms combatted metal-induced lipid peroxidation via the activation of catalase, superoxide-dismutase, and reduced-glutathione. Correlation statistics revealed that genetic integrity in earthworms was restored through DNA-methyltransferase activity, especially in DSPS/CPWS+CD vermibeds. Overall, Eisenia was a healthier choice than Eudrilus for sustainable valorization of textile-sludge.

PMID:34883193 | DOI:10.1016/j.biortech.2021.126493

JAMA Neurol. 2021 Dec 1;78(12):1484-1493. doi: 10.1001/jamaneurol.2021.3723.

ABSTRACT

IMPORTANCE: Compared with normothermia, hypothermia has been shown to reduce death or disability in neonatal hypoxic ischemic encephalopathy but data on seizures during rewarming and associated outcomes are scarce.

OBJECTIVE: To determine whether electrographic seizures are more likely to occur during rewarming compared with the preceding period and whether they are associated with abnormal outcomes in asphyxiated neonates receiving hypothermia therapy.

DESIGN, SETTING, AND PARTICIPANTS: This prespecified nested cohort study of infants enrolled in the Optimizing Cooling (OC) multicenter Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Neonatal Research Network trial from December 2011 to December 2013 with 2 years’ follow-up randomized infants to either 72 hours of cooling (group A) or 120 hours (group B). The main trial included 364 infants. Of these, 194 were screened, 10 declined consent, and 120 met all predefined inclusion criteria. A total of 112 (90%) had complete data for death or disability. Data were analyzed from January 2018 to January 2020.

INTERVENTIONS: Serial amplitude electroencephalography recordings were compared in the 12 hours prior and 12 hours during rewarming for evidence of electrographic seizure activity by 2 central amplitude-integrated electroencephalography readers blinded to treatment arm and rewarming epoch. Odds ratios and 95% CIs were evaluated following adjustment for center, prior seizures, depth of cooling, and encephalopathy severity.

MAIN OUTCOMES AND MEASURES: The primary outcome was the occurrence of electrographic seizures during rewarming initiated at 72 or 120 hours compared with the preceding 12-hour epoch. Secondary outcomes included death or moderate or severe disability at age 18 to 22 months. The hypothesis was that seizures during rewarming were associated with higher odds of abnormal neurodevelopmental outcomes.

RESULTS: A total of 120 newborns (70 male [58%]) were enrolled (66 in group A and 54 in group B). The mean (SD) gestational age was 39 (1) weeks. There was excellent interrater agreement (κ, 0.99) in detection of seizures. More infants had electrographic seizures during the rewarming epoch compared with the preceding epoch (group A, 27% vs 14%; P = .001; group B, 21% vs 10%; P = .03). Adjusted odd ratios (95% CIs) for seizure frequency during rewarming were 2.7 (1.0-7.5) for group A and 3.2 (0.9-11.6) for group B. The composite death or moderate to severe disability outcome at 2 years was significantly higher in infants with electrographic seizures during rewarming (relative risk [95% CI], 1.7 [1.25-2.37]) after adjusting for baseline clinical encephalopathy and seizures as well as center.

CONCLUSIONS AND RELEVANCE: Findings that higher odds of electrographic seizures during rewarming are associated with death or disability at 2 years highlight the necessity of electroencephalography monitoring during rewarming in infants at risk.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01192776.

PMID:34882200 | DOI:10.1001/jamaneurol.2021.3723

Brief Bioinform. 2021 Dec 9:bbab497. doi: 10.1093/bib/bbab497. Online ahead of print.

ABSTRACT

Multiple statistical methods for aggregate association testing have been developed for whole-genome sequencing (WGS) data. Many aggregate variants in a given genomic window and ignore existing knowledge to define test regions, resulting in many identified regions not clearly linked to genes, and thus, limiting biological understanding. Functional information from new technologies (such as Hi-C and its derivatives), which can help link enhancers to their effector genes, can be leveraged to predefine variant sets for aggregate testing in WGS data. Here, we propose the eSCAN (scan the enhancers) method for genome-wide assessment of enhancer regions in sequencing studies, combining the advantages of dynamic window selection in SCANG (SCAN the Genome), a previously developed method, with the advantages of incorporating putative regulatory regions from annotation. eSCAN, by searching in putative enhancers, increases statistical power and aids mechanistic interpretation, as demonstrated by extensive simulation studies. We also apply eSCAN for blood cell traits using NHLBI Trans-Omics for Precision Medicine WGS data. Results from real data analysis show that eSCAN is able to capture more significant signals, and these signals are of shorter length (indicating higher resolution fine-mapping capability) and drive association of larger regions detected by other methods.

PMID:34882196 | DOI:10.1093/bib/bbab497