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Nevin Manimala Statistics

Predictors of response of rituximab in rheumatoid arthritis by weighted gene co-expression network analysis

Clin Rheumatol. 2022 Nov 14. doi: 10.1007/s10067-022-06438-y. Online ahead of print.

ABSTRACT

PURPOSE: The purpose of this study was to identify a biomarker that can predict the efficacy of rituximab (RTX) in the treatment of rheumatoid arthritis (RA) patients.

METHODS: Utilized weighted gene co-expression network analysis (WGCNA) and LASSO regression analysis of whole blood transcriptome data (GSE15316 and GSE37107) related to RTX treatment for RA from the GEO database, the critical modules, and key genes related to the efficacy of RTX treatment for RA were found. The biological functions were further explored through enrichment analysis. The area under the ROC curve (AUC) was validated using the GSE54629 dataset.

RESULTS: WGCNA screened 71 genes for a dark turquoise module that were correlated with the efficacy of RTX treatment for RA (r = 0.42, P < 0.05). Through the calculation of gene significance (GS) and module membership (MM), 12 important genes were identified; in addition, 21 important genes were screened by the LASSO regression model; two key genes were obtained from the intersection between the important genes. Then, BANK1 (AUC = 0.704, P < 0.05) was identified as a potential biomarker to predict the efficacy of RTX treatment for RA by ROC curve evaluation of the treatment and validation groups. BANK1 gene expression was significantly decreased after RTX treatment, and a statistically significant difference was found (log FC = – 2.08, P < 0.05). Immune cell infiltration analysis revealed that the infiltration of CD4 + T cell memory subset was increased in the group with high BANK1 expression, and a statistically significant difference was found (P < 0.05).

CONCLUSIONS: BANK1 can be used as a potential biomarker to predict the response of RTX treatment in RA patients. Key Points • Identifying the hub genes BANK1 as a potential biomarker to predict the response of RTX treatment in RA patients and confirming it in validation data. • Using the WGCNA approach and LASSO analyses to identify the BANK1 in a data set consisting of two GEO data merged and assessing the correlations between BANK1 and immune infiltration by CIBERSORT algorithm.

PMID:36374432 | DOI:10.1007/s10067-022-06438-y

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Nevin Manimala Statistics

Morphometric and morphological evaluation of temporozygomatic suture anatomy in dry adult human skulls

Anat Sci Int. 2022 Nov 14. doi: 10.1007/s12565-022-00694-3. Online ahead of print.

ABSTRACT

This study aims to evaluate the position, morphometric, and morphological features of the temporozygomatic suture (TZS) located on the zygomatic arch (ZA) in dry adult human skulls. Thirty-two crania were evaluated. Measurements for the TZS were carried out using the ImageJ software. Morphometric measurements were carried out bilaterally in 23 crania and unilaterally in 9 crania (right: 4, left: 5). A total of 55 TZSs were analyzed. Localization of the TZS was determined according to the reference landmarks on the ZA. Morphologic features of the TZS evaluated in terms of “joint shape type” and “suture margin pattern”. Descriptive statistics of the morphometric and morphologic variables were calculated. A statistically significant difference between the right and left sides was observed for the localization of the TZS (p < 0.05). TZS is located more anteriorly on the left side than the right side. Based on the “joint shape type”, four types of TZS were observed: Type 1 (angular) (34.55%), Type 2 (curvy) (34.55%), Type 3 (oblique) (14.55%), Type 4 (horizontal) (16.36%). Based on the “suture margin pattern”, five types of TZS were observed: Type A (linear) (12.73%), Type B (denticulate) (34.55%), Type C (serrated) (23.64%), Type D (mixt) (21.82%), Type E (fused) (7.27%). No significant association between the type and lateralization was found for both morphologic classifications. To the best of our knowledge, this is the first published report regarding the localization and morphologic classification of the TZS in adult human crania. Considering the TZS with its morphometric and morphological features may contribute to clinical or forensic medical evaluations.

PMID:36374372 | DOI:10.1007/s12565-022-00694-3

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Nevin Manimala Statistics

Analysing the relationship between human modification and land surface temperature fluctuation in the Ramganga basin, India

Environ Monit Assess. 2022 Nov 14;195(1):104. doi: 10.1007/s10661-022-10728-y.

ABSTRACT

In many regions across the world, including river basins, population growth and land development have enhanced the demand for land and other natural resources. The anthropogenic activities can be detrimental to the vital ecosystems that sustain the river basin region. This work assessed the impact of human modification on land surface temperature (LST) for the Ramganga basin in India. It has been hypothesised that the footprints of anthropogenic activities in the region have been connected to the LST fluctuation for the region, which could indicate environmental degradation. The LST variation between 2000 and 2016 has been estimated to test this hypothesis. The spatio-temporal correlation between human modification and LST has been computed. LST has been calculated with MODIS satellite data in the Google earth engine (GEE) platform, and anthropogenic activities can be visualised using an LU/LC map of the basin created by the Classification and Regression (CART) technique. The statistical parameters (average, maximum and standard deviation) of annual temperature for each pixel in 17 years (2000-2016) have been assessed to establish the links with human modification. The result of this work portrays a positive correlation of 0.705 between maximum LST and human modification. The forest class in the basin region has the lowest average human modification value (0.37), and it also possesses the lowest mean LST of 26.72 °C. Similarly, the settlement class has the highest average human modification value (0.85), and the mean LST temperature of this class has been on the higher side, having a value of 31.07 °C.

PMID:36374362 | DOI:10.1007/s10661-022-10728-y

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Nevin Manimala Statistics

3D-printed titanium surgical guides for extraction of horizontally impacted lower third molars

Clin Oral Investig. 2022 Nov 14. doi: 10.1007/s00784-022-04769-3. Online ahead of print.

ABSTRACT

OBJECTIVES: This prospective study introduced a digitally designed sectioning guide and evaluated its feasibility for the extraction of horizontally impacted lower third molars.

MATERIALS AND METHODS: This study included 38 horizontally impacted lower third molars, randomly divided into experimental and control groups. The teeth were extracted using a 3D-printed titanium surgical guide in the experimental group; free-hand extractions were performed in the control group. The surgical duration, tooth sectioning duration, cortical bone perforation, and postoperative complications, including pain, swelling, trismus, dry socket, infection, and hemorrhage, were evaluated.

RESULTS: Although not statistically significant, guided surgery tended to reduce the number of tooth sectioning steps compared to free-hand extractions. There were no cases of cortical bone perforation in the experimental group. Although the surgical duration was greater in the experimental group (p < 0.05), there were no differences in postoperative pain, swelling, and trismus. There were no cases of postoperative infection and hemorrhage in either group.

CONCLUSIONS: 3D-printed titanium surgical guides had superior accuracy and safety compared to free-hand surgery. Further studies with larger sample sizes are required to verify these findings.

CLINICAL RELEVANCE: The template improved the safety of tooth sectioning during impacted lower third molar surgery and resulted in a more predictable extraction. The narrow sectioning groove could fit comfortably with hypertrophic soft tissues in the posterior mandible.

PMID:36374352 | DOI:10.1007/s00784-022-04769-3

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Nevin Manimala Statistics

Revisiting prediction of collapse in hip osteonecrosis with artificial intelligence and machine learning: a new approach for quantifying and ranking the contribution and association of factors for collapse

Int Orthop. 2022 Nov 14. doi: 10.1007/s00264-022-05631-7. Online ahead of print.

ABSTRACT

PURPOSE: This study proposes machine learning to analyze the risk factors of the collapse in patients with non-traumatic hip osteonecrosis of the femoral head.

METHODS: We collected data of 900 consecutive patients (634 males) with bilateral (428) or unilateral non-traumatic osteonecrosis diagnosed before collapse (at stage I or stage II). The follow-up was average five years (3 to 8 years). A total of 50 variables related to the osteonecrosis were included in the study. The osteonecroses were randomly divided into a training set (80%) and a validation set (20%) with a similar percentage of hips with collapse in the two groups. Machine learning (ML) algorithms were trained with the selected variables. Performance was evaluated and the different factors (variables) for collapse were ranked with Shapley values. The primary outcome was prediction of occurrence of collapse from automated inventory systems.

RESULTS: In this series of patients, the accuracy with machine learning for predicting collapse within three years follow-up was 81.2%. Accuracies for predicting collapse within six to 12-24 months were 54.2%, 67.3%, and 71.2%, respectively, demonstrating that the accuracy is lower for a prevision in the short term than for the mid-term. Despite none of the risk-factors alone achieving statistical significance for prediction, the system allowed ranking the different variables for risk of collapse. The highest risk factors for collapse were sickle cell disease, liver, and cardiac transplantation treated with corticosteroids, osteonecrosis volume > 50% of the femoral head. Cancer (such as leukemia), alcohol abuse, lupus erythematosus, Crohn’s disease, pemphigus vulgaris treated with corticosteroids, and osteonecrosis volume between 40 and 50% were medium risk factors for collapse. Familial cluster of collapse, HIV infection, chronic renal failure, nephrotic syndrome, and renal transplantation, when treated with corticosteroids, stage II, osteonecrosis volume between 30 and 40%, chemotherapy, hip pain with VAS > 6, and collapse progression on the contralateral side, were also significant but lowest risk factors. A heat map is proposed to illustrate the ranking of the combinations of the different variables. The highest risk of collapse is obtained with association of various risks factors.

CONCLUSION: This study, for the first time, demonstrated prediction of collapse and ranking of factors for collapse with a machine learning system. This study also shows that collapse is due to a multifactorial risk factors.

PMID:36374346 | DOI:10.1007/s00264-022-05631-7

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Nevin Manimala Statistics

Gender differences in contralateral suppression of spontaneous otoacoustic emissions in individuals with auditory neuropathy spectrum disorders

Eur Arch Otorhinolaryngol. 2022 Nov 14. doi: 10.1007/s00405-022-07745-5. Online ahead of print.

ABSTRACT

PURPOSE: The current study aims to evaluate gender variations in the efferent auditory system functioning in the ANSD population and compare them to normal hearing persons using contralateral suppression of spontaneous OAE (SOAEs).

METHODS: For the current study, a total of 54 ears were considered prospectively. 27 ears with normal hearing (NH) sensitivity were in group I, while 27 ears with ANSD were in group II. All of the subjects had a regular audiological examination followed by synchronised SOAE recordings with and without broadband noise (in the contralateral ear) at 50 dB SPL and statistical analysis was carried out.

RESULTS: Wilcoxon signed rank test revealed a significant decrease in SOAE amplitude with contralateral noise stimulation in NH, while no such trend was observed in ANSD. However, contralateral SOAE stimulation resulted in significant high-frequency shifts for both the ANSD and NH groups in the noise condition. In the comparison of gender effects on SOAE amplitude and frequency shifts using Mann-Whitney, no significant gender differences were seen. The lack of gender differences in SOAE suppression is explained based on global standing wave theory and local oscillator theory.

CONCLUSIONS: Contralateral effect of noise on SOAE shows frequency shifts, but not amplitude shifts both of which are not affected by gender effects.

PMID:36374345 | DOI:10.1007/s00405-022-07745-5

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Nevin Manimala Statistics

The role of pineal gland volume in the development of scoliosis

Eur Spine J. 2022 Nov 14. doi: 10.1007/s00586-022-07452-z. Online ahead of print.

ABSTRACT

PURPOSE: Adolescent idiopathic scoliosis (AIS) is believed to be caused by genetic, neurological, osseous growth anomalies, histological variables including muscle fiber percentage and core structure changes, metabolic and hormonal dysfunction, vestibular dysfunction, and platelet microarchitecture. The objective of this study was to contribute to the determination of the cause of AIS by analyzing the changes in pineal gland volume in AIS cases.

METHODS: Study (AIS) and control group were each comprised of 26 patients who met the inclusion requirements. Scoliosis radiograph and MRI of the pineal glands were used for radiological examinations. The distribution of age, gender, Risser grading for skeletal radiological development, and sexual maturation according to Tanner categorization were uniform and statistically insignificant between groups.

RESULTS: When the pineal gland volumes of the cases were evaluated according to age, the AIS group was found to have significantly reduced pineal gland volumes in all age groups. The pineal gland volume was found to be 38.1% lower in the AIS group compared to the control group (p˂0.001). In the AIS group, patients aged 13 years had the lowest pineal gland volume (77.2 ± 13.86 mm3), while patients aged 15 years had the highest volume (97.9 ± 16.47 mm3).

CONCLUSION: Changes in pineal gland volume support the role of the pineal gland in the etiopathogenesis of AIS.

PMID:36374335 | DOI:10.1007/s00586-022-07452-z

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Distribution of TyG index and homeostasis model assessment insulin resistance for the evaluation of insulin sensitivity on late adolescence in Mexicans

Nutr Hosp. 2022 Nov 14. doi: 10.20960/nh.04120. Online ahead of print.

ABSTRACT

INTRODUCTION: when peripheral tissues don’t respond well to insulin action, it is defined as insulin resistance (IR). Many methods and indices are available for the estimation of IR, among them the homeostasis model assessment of insulin resistance (HOMA-IR) involves fasting plasma glucose and insulin. Nevertheless, the TyG index has a methodological advantage over the HOMA-IR because it requires only measurements provided by routine laboratory tests.

AIM: distribution asessment of the HOMA-IR and TyG indexes in the sample. Also, to determine the predictive capacity of HOMA-IR, using TyG cutoff point as IR-positive diagnostic test.

MATERIALS AND METHODS: a cross-sectional analytical study with 1686 participants aged 18 to 21 years from the state of San Luis Potosí, Mexico. Anthropometric assessment involves variables of weight and height. Fasting glucose, insulin and triglyceride concentrations were quantified. In addition, a questionnaire was carried out to know the hereditary family history and the presence of noncommunicable diseases (NCDs). Student’s t-test was used to assess the differences in mean statistics between males and females. A receiver operating characteristic (ROC) curve was applied to examine the potential of HOMA-IR to identify IR.

RESULTS: 56 % of the study adolescents were females and 44 % were males; mean BMI was 22.62 ± 3.21 kg/m2. In the total sample mean serum glucose, insulin, and triglyceride concentrations were 89.48 ± 9.84 mg/dL, 6.26 ± 5.04 µU/mL, and 95.64 ± 55.78 mg/dL, respectively. A prevalence of 28.2 % of IR was determined, evaluated with the cut-off points for the TyG index. Subsequently, Receiver Operator Curves (ROC) were performed to evaluate the predictive capacity of HOMA-IR. The most outstanding cut-off value was 1.08 for the HOMA-IR index, reaching a sensitivity of 66 % and a specificity of 53 %. The prevalence of HOMA-IR greater than or equal to 1.18 was 47 % in the total population, 19.3 % in males and 28.5 % in females Conclusions: HOMA-IR and TyG can be useful diagnostic parameters for the assessment of IR in late adolescence. To provide a health guide for IR, we propose that a HOMA-IR target value ≤ 1.08 should be considered.

PMID:36373659 | DOI:10.20960/nh.04120

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Nevin Manimala Statistics

A Smartphone App to Reduce Burnout in the Emergency Department: A Pilot Randomized Controlled Trial

Workplace Health Saf. 2022 Nov 14:21650799221123261. doi: 10.1177/21650799221123261. Online ahead of print.

ABSTRACT

BACKGROUND: Burnout is a significant concern among health care professionals, particularly those working in the emergency department (ED). Given the negative personal and professional consequences that burnout can have on all health care professionals, multidisciplinary solutions are needed to address burnout. Our objective was to evaluate the feasibility and potential impact of resilience training delivered through a smartphone application on burnout among health care professionals working at a tertiary-care pediatric ED.

METHODS: We conducted a single-center pilot randomized controlled study enrolling multidisciplinary health care professionals working in our ED. Participants assigned to the intervention group received self-driven access to a smartphone application that provided a structured resilience curriculum for a period of 3 months. The participants completed psychometric assessments both prior to and following the invention period. Changes in psychometric measures of the intervention group were then compared with a waitlist-control group.

RESULTS: Following the intervention period, a total of 20 participants were included in the final analysis. The change in participant scores on psychometric measures prior to and following the intervention period was calculated. A statistically significant mean decrease in burnout measure (emotional exhaustion subscale of Maslach-Burnout Inventory mean score -5.88, p < .001) and increase in mindfulness measure (Mindful Attention Awareness Scale mean score 0.51, p < .001) was observed among the intervention group participants.

CONCLUSIONS/APPLICATION TO PRACTICE: Our study suggests that a resilience training program delivered using a smartphone application can be an effective intervention in reducing burnout and increasing mindfulness skills. Our study also demonstrated the potential feasibility of a randomized controlled study of burnout within a multidisciplinary group of health care professionals.

PMID:36373628 | DOI:10.1177/21650799221123261

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Nevin Manimala Statistics

Women’s Employment and Intimate Partner Violence: Understanding the Role of Individual and Community Structural Drivers in Low- and Middle-Income Countries

J Interpers Violence. 2022 Nov 13:8862605221134086. doi: 10.1177/08862605221134086. Online ahead of print.

ABSTRACT

Empirical findings on the relationship between women’s employment and intimate partner violence (IPV) in low- and middle-income countries (LMICs) are mixed. These varied findings may arise because research thus far has given insufficient attention to how individual attributes and community context shape the pathways between women’s employment and IPV. Using publicly available Demographic and Health Survey (DHS) data from 20 LMIC settings (n = 168,995), we investigate (1) how women’s employment is associated with past-year IPV and (2) if associations differ by household- or community-level structural drivers of IPV: women’s attitudes toward IPV, women’s participation in household decision-making, and relative wealth. We fit mixed-effects logistic regression models exploring the total, individual, community, and contextual effects of women’s employment on past-year IPV; effect measure modification by structural drivers; and cross-level interactions between community-level structural drivers and individual employment. Our analyses reveal positive associations between total (odds ratio [OR] = 1.31; 95% CI [1.27, 1.35]), individual (OR = 1.23; 95% CI [1.19, 1.27]), community (OR = 1.06; 95% CI [1.06, 1.07]), and contextual effects (OR = 1.04; 95% CI [1.03, 1.05]) of women’s employment for IPV. Only individual wealth demonstrated statistically significant effect measure modification for the relationship between individual employment and past-year IPV (ratio of OR = 0.95; 95% CI [0.92, 0.99]). These findings suggest interventions that focus only on increasing women’s employment may be associated with harmful increases in the occurrence of IPV, even when these interventions enable a large proportion of women in a community to be employed. Structural interventions that change norms of women’s autonomy or attitudes toward IPV at the household or community levels may be insufficient to ameliorate these negative effects, whereas interventions that increase household wealth partly may buffer these effects.

PMID:36373609 | DOI:10.1177/08862605221134086