Category: Statistics

J Ultrasound Med. 2021 Dec 3. doi: 10.1002/jum.15903. Online ahead of print.

ABSTRACT

OBJECTIVES: The data on the use of shear wave elastography (SWE) in children with thyroid disorders is limited. We aimed to assess the role of SWE in the evaluation of the thyroid gland in children newly diagnosed with Hashimoto’s thyroiditis (HT).

METHODS: The thyroid gland was evaluated in 18 children (5 boys and 13 girls, age range: 5-12 years) with newly diagnosed HT and 27 (21 boys and 6 girls, age range: 4-12 years) healthy controls using grayscale ultrasound followed by SWE. The values of SWE (in kPa) were compared between cases and controls and were also correlated with various demographic variables and serum thyroid hormone concentrations.

RESULTS: The overall median of SWE values in cases and controls was 20.6 kPa (IQR = 19.16-26.94) and 10.7 kPa (IQR = 9.9-16.32), respectively, and the difference was statistically significant (W = 438.5, P < .001). There was a moderate positive correlation between serum triiodothyronine concentrations and SWE (ρ = 0.57, P = .016) and a moderate negative correlation between serum thyroid stimulating hormone concentrations and SWE (ρ = -0.54, P = .020). A significant difference (W = 61.0, P = .003) was also seen in median SWE of the thyroid gland between boys (median: 29.63 kPa, IQR = 27.53-32.88) and girls (median: 19.43 kPa, IQR = 18.88-21.32).

CONCLUSION: There is a significant difference between SWE values of thyroid in normal children and children with newly diagnosed HT. Hence, SWE may be used as a noninvasive imaging technique in distinguishing normal and abnormal thyroid gland at an early stage. We suggest larger studies to confirm our preliminary findings of SWE in pediatric HT.

PMID:34862654 | DOI:10.1002/jum.15903

J Comput Chem. 2021 Dec 4. doi: 10.1002/jcc.26791. Online ahead of print.

ABSTRACT

Buchwald-Hartwig amination reaction catalyzed by palladium plays an important role in drug synthesis. In the last few years, machine learning-assisted strategies emerged and quickly gained attention. In this article, an importance and relevance-based integrated feature screening method is proposed to effectively filter high-dimensional feature descriptor data. Then, a regularized machine learning boosting tree model, eXtreme Gradient Boosting, is introduced to intelligently predict reaction performance in multidimensional chemistry space. Furthermore, convergence, interpretability, generalization, and the internal association between reaction conditions and yields are excavated, which provides intelligent assistance for the optimal design of coupling reaction system and evaluating the reaction conditions. Compared with recently published results, the proposed method requires fewer feature descriptors, takes less time, and achieves more accurate prediction accuracy.

PMID:34862652 | DOI:10.1002/jcc.26791

Biom J. 2021 Dec 3. doi: 10.1002/bimj.202000367. Online ahead of print.

ABSTRACT

Tests based on pairwise distance measures for multivariate sample vectors are common in ecological studies but are usually restricted to two-sided tests for differences. In this paper, we investigate extensions to tests for superiority, equivalence and non-inferiority.

PMID:34862646 | DOI:10.1002/bimj.202000367

Andrologia. 2021 Dec 3:e14339. doi: 10.1111/and.14339. Online ahead of print.

ABSTRACT

The present study investigated the effect of a 5-week ASA treatment on male reproductive parameters in Wistar rats; moreover, the potential benefits of a 4-week sprint interval training (SIT) on these measures following ASA treatment were investigated. A total of 25 male rats were obtained and randomly assigned to the control group (C, n = 10) and the ASA treatment group (EP, n = 15). After 5 weeks, five rats from each group were killed and the effect of ASA treatment on the reproductive parameters was assessed. Then, the ASA treatment terminated and the remaining 10 ASA-treated rats were divided into the non-treatment group (NT, n = 5) and the exercise training group (ET, n = 5), which performed SIT 3 sessions/week for 4 weeks. Five weeks of ASA treatment resulted in a statistically significant decrease in serum testosterone level, Leydig cell number, sperm count, sperm motility, sperm viability, TDI, SI and RI, and it resulted in a significant increase in sperm nucleus maturity and sperm DNA fragmentation (p ˂ 0.05). Furthermore, 4 weeks of SIT reversed all the ASA-induced changes in male reproductive parameters (p < 0.05), but not the number of seminiferous tubules and the sperm motility (p > 0.05). A subchronic dose of ASA could lead to adverse alterations in male reproductive parameters and SIT is beneficial in reversing those alterations.

PMID:34862636 | DOI:10.1111/and.14339

J Ultrasound Med. 2021 Dec 3. doi: 10.1002/jum.15907. Online ahead of print.

ABSTRACT

OBJECTIVES: The aim of this study was to investigate the role of quantitative values obtained by superb microvascular imaging (SMI) and shearwave elastography (SWE) in the prediction of malignancy in intraductal papilloma-like lesions (IDPL).

METHODS: In the study, 61 patients between the ages of 14 to 73 years (mean age 44) diagnosed with IDPL on ultrasound (US) examination between the years 2020 and 2021 were included. The B-Mode US findings (shape, margins, size, echo pattern, and accompanying ductal dilatation), SMI vascular index (SMIvi), E-mean, and SWE-ratio values were recorded.

RESULTS: There was a statistically significant difference between malignant (n = 14) and benign (n = 47) groups in terms of symptoms (P = .005), size (P = .042), shape (P = .002), margins (P = .001), echogenicity (P = .023), microcalcifications (P = .009), SMIvi (P = .031), E-mean (P < .005), and SWE-ratio (P = .007). According to receiver operating characteristic (ROC) curve analysis, sensitivity, specificity, accuracy, area under the curve (AUC), positive predictive values (PPV), and negative predictive values (NPV) were 57.1%, 87.2%, 80%, 0.722, 57.1%, 87.2% for US; 71.4%, 49%, 55.7%, 0.692, 30.3%, 85.7% for SMIvi; 85.7%, 71%, 74%, 0.864, 46%, 94.3% for E-mean, and 50%, 75.4%, 83%, 0.707, 91.5%, and 50% for SWE-ratio, respectively. Best results were obtained when SMI and SWE values were used together, achieving a sensitivity, specificity, accuracy, AUC, PPD, NPD of 78.6%, 93.6%, 93.4%, 0.872, 91.7%, and 93.9%, respectively.

CONCLUSIONS: The SMI and SWE examinations are successful in the differentiation of benign and malignant intraductal lesions. They complement each other and contribute to B-mode US in managing IDPLs especially when used together. Our study is the first to compare the quantitative data of SWE and SMI in the differentiation of IDPLs.

PMID:34862641 | DOI:10.1002/jum.15907

J Med Virol. 2021 Dec 4. doi: 10.1002/jmv.27500. Online ahead of print.

ABSTRACT

BACKGROUND: The pathogenesis of SARS-CoV-2 infection, causative pathogen of the known COVID-19 pandemic is not well clarified. In this regard oxidative stress is one of the topics that need to be investigated. Therefore, the present research was performed to explore the relationship between the oxidant/antioxidant system and COVID-19 exacerbation.

METHODS: Sera were collected from 120 patients with COVID-19 infection and 60 healthy volunteers as the control group. The patient group consisted of 60 cases with mild disease and 60 severely ill patients. Serum levels of total antioxidant capacity (TAC) and nitric oxide (NO) as well as serum activities of the two main anti-oxidant defense enzymes, superoxide dismutase (SOD) and catalase (CAT), were measured.

RESULTS: TAC levels were considerably lower in patients compared with healthy individuals (P<0.05) and also between patients with mild and severe diseases (P<0·05). A rather decreasing trend was also found in NO concentration as well as SOD and CAT activity, though, the observed differences were not statistically significant (P>0·05).

CONCLUSION: These findings suggest that COVID-19 patients may be susceptible to depleted total anti-oxidant capacity. Moreover, showing such variations in blood samples of infected individuals could be considered as a predictive marker of COVID-19 severity. This article is protected by copyright. All rights reserved.

PMID:34862613 | DOI:10.1002/jmv.27500

Br J Haematol. 2021 Dec 4. doi: 10.1111/bjh.17987. Online ahead of print.

ABSTRACT

Most childhood acute lymphoblastic leukaemia (ALL) protocols include high-dose steroid therapy. However, the known potential of high-dose steroids to significantly elevate intraocular pressure (IOP) and lead to glaucomatous optic neuropathy has not been intensively investigated in children with ALL. Moreover, as children with ALL do not routinely undergo IOP measurements, the need for IOP monitoring and therapy is unknown. We prospectively measured IOP in 90 children with newly diagnosed ALL attending a tertiary paediatric haematology/oncology centre, at diagnosis and at the middle and end of induction therapy. Ocular hypertension (IOP > 21 mm Hg) at any time point was documented in 64 children (71%), and the prevalence increased during induction. Thirty-six children (40%) had elevated IOP at ALL diagnosis before therapy initiation, and stratification to non-standard ALL was a risk factor. IOP reduction therapy was administered to 13 children (14%); none required surgery. Values normalised in all cases. On multivariate logistic regression analysis, dexamethasone therapy was a significant risk factor for ocular hypertension. High body mass index was an additional risk factor in children with elevated IOP at ALL diagnosis. Routine evaluation of IOP during steroid therapy is very important in children with ALL to ensure early intervention which may prevent permanent ocular damage.

PMID:34862597 | DOI:10.1111/bjh.17987

Sci Rep. 2021 Dec 3;11(1):23415. doi: 10.1038/s41598-021-02882-z.

ABSTRACT

The concept that spinal manipulation therapy (SMT) outcomes are optimized when the treatment is aimed at a clinically relevant joint is commonly assumed and central to teaching and clinical use (candidate sites). This systematic review investigated whether clinical effects are superior when this is the case compared to SMT applied elsewhere (non-candidate sites). Eligible study designs were randomized controlled trials that investigated the effect of spinal manipulation applied to candidate versus non-candidate sites for spinal pain. We obtained data from four different databases. Risk of bias was assessed using an adjusted Cochrane risk of bias tool, adding four items for study quality. We extracted between-group differences for any reported outcome or, when not reported, calculated effect sizes from the within-group changes. We compared outcomes for SMT applied at a ‘relevant’ site to SMT applied elsewhere. We prioritized methodologically robust studies when interpreting results. Ten studies, all of acceptable quality, were included that reported 33 between-group differences-five compared treatments within the same spinal region and five at different spinal regions. None of the nine studies with low or moderate risk of bias reported statistically significant between-group differences for any outcome. The tenth study reported a small effect on pain (1.2/10, 95%CI – 1.9 to – 0.5) but had a high risk of bias. None of the nine articles of low or moderate risk of bias and acceptable quality reported that “clinically-relevant” SMT has a superior outcome on any outcome compared to “not clinically-relevant” SMT. This finding contrasts with ideas held in educational programs and clinical practice that emphasize the importance of joint-specific application of SMT.

PMID:34862434 | DOI:10.1038/s41598-021-02882-z

Sci Rep. 2021 Dec 3;11(1):23383. doi: 10.1038/s41598-021-02750-w.

ABSTRACT

Driving a car requires high cognitive demands, from sustained attention to perception and action planning. Recent research investigated the neural processes reflecting the planning of driving actions, aiming to better understand the factors leading to driving errors and to devise methodologies to anticipate and prevent such errors by monitoring the driver’s cognitive state and intention. While such anticipation was shown for discrete driving actions, such as emergency braking, there is no evidence for robust neural signatures of continuous action planning. This study aims to fill this gap by investigating continuous steering actions during a driving task in a car simulator with multimodal recordings of behavioural and electroencephalography (EEG) signals. System identification is used to assess whether robust neurophysiological signatures emerge before steering actions. Linear decoding models are then used to determine whether such cortical signals can predict continuous steering actions with progressively longer anticipation. Results point to significant EEG signatures of continuous action planning. Such neural signals show consistent dynamics across participants for anticipations up to 1 s, while individual-subject neural activity could reliably decode steering actions and predict future actions for anticipations up to 1.8 s. Finally, we use canonical correlation analysis to attempt disentangling brain and non-brain contributors to the EEG-based decoding. Our results suggest that low-frequency cortical dynamics are involved in the planning of steering actions and that EEG is sensitive to that neural activity. As a result, we propose a framework to investigate anticipatory neural activity in realistic continuous motor tasks.

PMID:34862442 | DOI:10.1038/s41598-021-02750-w

Sci Rep. 2021 Dec 3;11(1):23393. doi: 10.1038/s41598-021-02691-4.

ABSTRACT

The study attracted to insinuate the inhabitant anomalies of the crop yield in the districts of the Punjab where climate variation, inputs utilization, and district exponents are indispensable factors. Impact evaluation of sowing and harvesting dates for rice yield has been analyzed. Suitable sowing and harvesting dates and potential districts for the crop are proposed. Data consisting of 13,617 observations of more than 90 factors encompassing valuable dimensions of the growth of the crops collected through comprehensive surveys conducted by the Agriculture Department of Punjab are formulated to incorporate in this study. The results establish the significant negative repercussions of climate variability while the impacts vary in the districts. The crop yield deteriorates considerably by delaying the sowing and harvesting times. Districts climate-induced vulnerability ranking revealed Layyah, Jhelum, Mianwali, Khanewal and Chinniot, the most vulnerable while Kasur, Gujrat, Mandi Bhauddin, Nankana Sahib and Hafizabad, the least vulnerable districts. Spatial mapping explains the geographical pattern of vulnerabilities and yield/monetary losses. The study ranks districts using climate-induced yield and monetary loss (222.30 thousand metric tons of rice which are equal to 27.79 billion PKR climatic losses in single rice season) and recommends: the formation of district policy to abate the adverse climate impact, utilization of suitable climate variation by adhering proper sowing and harvesting times, setting the prioritized districts facing climate-induced losses for urgent attention and preferable districts for rice crop.

PMID:34862424 | DOI:10.1038/s41598-021-02691-4