Tag: pubmed

J Clin Rheumatol. 2023 Nov 20. doi: 10.1097/RHU.0000000000002043. Online ahead of print.

ABSTRACT

OBJECTIVES: This study assessed the concordance between line blot (LB) and immunoprecipitation (IP) assays for detecting myositis-specific antibodies (MSAs) in idiopathic inflammatory myopathies (IIMs) and their association with IIM subtypes.

METHODS: One hundred patients with IIM were enrolled, and MSA was detected using LB and IP. The IIM subtypes, including immune-mediated necrotizing myopathy-like, anti-tRNA synthetase syndrome-like, and clinically amyopathic dermatomyositis-like, were clinically diagnosed. The validity and reliability of the LB compared with the IP were evaluated. Optimal cutoff levels for LB were determined using various statistical methods including Cohen κ, Gwet’s AC, diagnostic odds ratios, and receiver operating characteristic analysis.

RESULTS: Line blot exhibited lower specificity and accuracy than IP in predicting IIM subtypes. Some MSAs performed better at higher LB cutoff values. Anti-signal recognition particle antibodies showed poor performance in predicting the immune-mediated necrotizing myopathy-like subtype using LB. Raising the cutoffs improved the reliability of anti-threonyl-tRNA synthetase and anti-signal recognition particle antibodies. Anti-histidyl-tRNA synthetase antibodies performed well at lower positivity, whereas diagnostic odds ratios increased for anti-transcription intermediary factor 1γ and anti-nuclear matrix protein 2 with higher cutoffs.

CONCLUSIONS: Inconsistencies between LB and IP have been observed in patients with IIM. Individual optimal cutoffs for MSA by LB correlating with IP were determined. Rheumatologists should consider the differences between LB and IP results when classifying IIM subtypes.

PMID:37983669 | DOI:10.1097/RHU.0000000000002043

Toxicol Ind Health. 2023 Nov 20:7482337231215864. doi: 10.1177/07482337231215864. Online ahead of print.

ABSTRACT

Male workers in copper smelting are exposed to copper, lead, and arsenic. This study aimed to assess the effects of combined exposure to these metals on male reproductive hormone levels and assesses malondialdehyde (MDA) as an oxidative stress parameter. The study was conducted on 40 copper smelter workers compared with 40 non-exposed workers. Laboratory investigations included levels of serum copper, blood lead, serum arsenic, follicle-stimulating hormone (FSH), luteinizing hormone (LH), testosterone, and MDA. Levels of copper, arsenic, lead, FSH, and LH were significantly increased compared to controls. However, a statistically significant decrease in the mean value of testosterone was found among exposed workers. Positive correlations between serum copper and both serum FSH and MDA levels were statistically significant as were correlations between serum arsenic and MDA levels. Testosterone levels showed significant negative correlations with both copper and arsenic among exposed workers. A linear regression model of copper, arsenic, and lead levels as independent variables with FSH, LH, and testosterone as dependent variables revealed a significant negative association between serum copper and testosterone levels. The current study concluded that combined exposure to copper, arsenic, and lead in secondary copper smelters had a negative impact on male reproductive hormone levels that may be mediated by oxidative stress.

PMID:37983667 | DOI:10.1177/07482337231215864

J Magn Reson Imaging. 2023 Nov 19. doi: 10.1002/jmri.29141. Online ahead of print.

ABSTRACT

BACKGROUND: Small for gestational age (SGA) fetuses are at risk for perinatal adverse outcomes. Fetal body composition reflects the fetal nutrition status and hold promise as potential prognostic indicator. MRI quantification of fetal anthropometrics may enhance SGA risk stratification.

HYPOTHESIS: Smaller, leaner fetuses are malnourished and will experience unfavorable outcomes.

STUDY TYPE: Prospective.

POPULATION: 40 SGA fetuses, 26 (61.9%) females: 10/40 (25%) had obstetric interventions due to non-reassuring fetal status (NRFS), and 17/40 (42.5%) experienced adverse neonatal events (CANO). Participants underwent MRI between gestational ages 30 + 2 and 37 + 2.

FIELD STRENGTH/SEQUENCE: 3-T, True Fast Imaging with Steady State Free Precession (TruFISP) and T₁ -weighted two-point Dixon (T₁ W Dixon) sequences.

ASSESSMENT: Total body volume (TBV), fat signal fraction (FSF), and the fat-to-body volumes ratio (FBVR) were extracted from TruFISP and T₁ W Dixon images, and computed from automatic fetal body and subcutaneous fat segmentations by deep learning. Subjects were followed until hospital discharge, and obstetric interventions and neonatal adverse events were recorded.

STATISTICAL TESTS: Univariate and multivariate logistic regressions for the association between TBV, FBVR, and FSF and interventions for NRFS and CANO. Fisher’s exact test was used to measure the association between sonographic FGR criteria and perinatal outcomes. Sensitivity, specificity, positive and negative predictive values, and accuracy were calculated. A P-value <0.05 was considered statistically significant.

RESULTS: FBVR (odds ratio [OR] 0.39, 95% confidence interval [CI] 0.2-0.76) and FSF (OR 0.95, CI 0.91-0.99) were linked with NRFS interventions. Furthermore, TBV (OR 0.69, CI 0.56-0.86) and FSF (OR 0.96, CI 0.93-0.99) were linked to CANO. The FBVR sensitivity/specificity for obstetric interventions was 85.7%/87.5%, and the TBV sensitivity/specificity for CANO was 82.35%/86.4%. The sonographic criteria sensitivity/specificity for obstetric interventions was 100%/33.3% and insignificant for CANO (P = 0.145).

DATA CONCLUSION: Reduced TBV and FBVR may be associated with higher rates of obstetric interventions for NRFS and CANO.

EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 5.

PMID:37982367 | DOI:10.1002/jmri.29141

Am J Hum Biol. 2023 Nov 19:e24012. doi: 10.1002/ajhb.24012. Online ahead of print.

ABSTRACT

BACKGROUND: Diabetes-related dyslipidemia is a multifaceted, complicated disorder characterized by an abnormal lipid profile in individuals with diabetes. The incidence of different types of dyslipidemia, however, was not a focus of prior investigations. The patients were characterized into three categories of dyslipidemia. Different patterns of dyslipidemia were combined into single dyslipidemia (7 patterns), mixed dyslipidemia (16 patterns), and triple dyslipidemia (4 patterns).

METHODS: In this cross-sectional study, 586 people suffering from type 2 diabetes mellitus (T2DM) were included. We assessed the serum lipid profile and used log (TG/HDL-C) to determine the atherogenic index of plasma (AIP). Dyslipidemia was examined as a categorical variable, and the findings were presented as percentages and numbers. To compare categorical variables, we either utilized Fisher exact tests or Chi square tests.

RESULTS: The study comprised of 586 T2DM patients, with 310 (52.9%) women and 276 (47.1%) men. Women have significantly higher hypertension (33.6%) as compared to men (23.2%). 18.94% (111) of patients were having coronary artery disease (CAD) history consisting of 12.28% (72) females and 6.66% (39) males, a difference which is statistically significant. 98.12% of total individuals had as a minimum of one lipid abnormality. 4.61% (27) of study subjects were having isolated dyslipidemia and 93.51% (548) had dual or triple pattern of dyslipidemia (mixed dyslipidemia). High AIP >0.24 (94.8%) was the most predominant trend of dyslipidemia. The dual combination of AIP (>0.24) and HDL (<50 mg/dL in Females and <40 mg/dL in Males) was found to be the most common pattern of mixed dyslipidemia (68.08%). The most prevalent trend of isolated dyslipidemia was found to be high AIP (>0.24), In patients with CAD history. Among the mixed dyslipidemia, the common pattern of dyslipidemia (71.17%) was the dual combination of high AIP (>0.24) and low HDL (<50 mg/dL women and <40 mg/dL males). The triple combination of TG (≥200 mg/dL) and HDL (<40 and <50 mg/dL) and LDL (≥100 mg/dL) was only found in females.

CONCLUSION: In conclusion, dyslipidemia is highly prevalent in T2DM patients, with mixed dyslipidemia being the most common type observed in the community of Kashmir valley, India. High AIP was the most prevalent pattern in the current investigation.

PMID:37982356 | DOI:10.1002/ajhb.24012

Am J Biol Anthropol. 2023 Nov 19. doi: 10.1002/ajpa.24875. Online ahead of print.

ABSTRACT

OBJECTIVES: Modular architecture of traits in complex organisms can be important for morphological evolution at micro- and sometimes macroevolutionary scales as it may influence the tempo and direction of changes to groups of traits that are essential for particular functions, including food acquisition and processing. We tested several distinct hypotheses about craniofacial modularity in the hominine skull in relation to feeding biomechanics.

MATERIALS AND METHODS: First, we formulated hypothesized functional modules for craniofacial traits reflecting specific demands of feeding biomechanics (e.g., masseter leverage/gape or tooth crown mechanics) in Homo sapiens, Pan troglodytes, and Gorilla gorilla. Then, the pattern and strength of modular signal was quantified by the covariance ratio coefficient and compared across groups using covariance ratio effect size. Hierarchical clustering analysis was then conducted to examine whether a priori-defined functional modules correspond to empirically recovered clusters.

RESULTS: There was statistical support for most a priori-defined functional modules in the cranium and half of the functional modules in the mandible. Modularity signal was similar in the cranium and mandible, and across the three taxa. Despite a similar strength of modularity, the empirically recovered clusters do not map perfectly onto our priori functional modules, indicating that further work is needed to refine our hypothesized functional modules.

CONCLUSION: The results suggest that modular structure of traits in association with feeding biomechanics were mostly shared with humans and the two African apes. Thus, conserved patterns of functional modularity may have facilitated evolutionary changes to the skull during human evolution.

PMID:37982349 | DOI:10.1002/ajpa.24875

Am J Hum Biol. 2023 Nov 19:e24015. doi: 10.1002/ajhb.24015. Online ahead of print.

ABSTRACT

OBJECTIVES: The REACT project was designed around two main aims: (1) to assess children’s growth and motor development after the COVID-19 pandemic and (2) to follow their fundamental movement skills’ developmental trajectories over 18 months using a novel technological device (Meu Educativo®) in their physical education classes. In this article, our goal is to describe statistical analysis of the longitudinal ordinal motor development data that was obtained from these children using the multilevel ordinal logistic model.

METHODS: Longitudinal ordinal data are often collected in studies on motor development. For example, children or adolescents might be rated as having poor, good, or excellent performance levels in fundamental movement skills, and such ratings may be obtained yearly over time to assess changes in fundamental movement skills levels of performance. However, such longitudinal ordinal data are often analyzed using either methods for continuous outcomes, or by dichotomizing the ordinal outcome and using methods for binary data. These approaches are not optimal, and so we describe in detail the use of the multilevel ordinal logistic model for analysis of such data from the REACT project. Our intent is to provide an accessible description and application of this model for analysis of ordinal motor development data.

DISCUSSION: Our analyses show both the between-subjects and within-subjects effects of age on motor development outcomes across three timepoints. The between-subjects effect of age indicate that children that are older have higher motor development ratings, relative to thoese that are younger, whereas the within-subject effect of age indicates higher motor development ratings as a child ages. It is the latter effect that is particularly of interest in longitudinal studies of motor development, and an important advantage of using the multilevel ordinal logistic model relative to more traditional methods.

PMID:37982324 | DOI:10.1002/ajhb.24015

J Biosoc Sci. 2023 Nov 20:1-21. doi: 10.1017/S002193202300024X. Online ahead of print.

ABSTRACT

Unsafe abortion refers to induced abortions performed without trained medical assistance. While previous studies have investigated predictors of unsafe abortion in India, none have addressed these factors with accounting sample selection bias. This study aims to evaluate the contributors to unsafe abortion in India by using the latest National Family Health Survey data conducted during 2019-2021, incorporating the adjustment of sample selection bias. The study included women aged 15 to 49 who had terminated their most recent pregnancy within five years prior to the survey (total weighted sample (N) = 4,810). Descriptive and bivariate statistics and the Heckman Probit model were employed. The prevalence of unsafe abortion in India was 31%. Key predictors of unsafe abortion included women’s age, the gender composition of their living children, gestation stage, family planning status, and geographical region. Unsafe abortions were typically performed in the early stages of gestation, often involving self-administered medication. The primary reasons cited were unintended pregnancies and health complications. This study underscores the urgent need for targeted interventions that take into account regional, demographic, and social dynamics influencing abortion practices in India.

PMID:37982282 | DOI:10.1017/S002193202300024X

Psychiatr Hung. 2023;38(3):189-202.

ABSTRACT

BACKGROUND: Digitized databases of scientific publications provide an opportunity to study the development and structure of science as a whole or a discipline. Qualitative methods of bibliometrics help with this, and the multidisciplinary approach, known as the “Science of Science”, provides a thinking framework and methods. There is no example for the analysis of the bibliometric characteristics of Hungarian suicidology publications.

METHOD: In this study, the author analyzes publications related to suicidal behavior published between 1992 and 2021, with the participation of at least one Hungarian author, using statistical, data visualization, and network analysis methods. The analysis used publications in English, Hungarian, and other languages found in the Scopus database.

RESULTS: The present research could identify 426 Hungarian publications in the three decades examined. The number of studies increased 5.8 times between the first and last five-year periods. The growth is not linear; there was a sudden increase in the number of studies around 2004. The doubling time for the number of studies is 9.6 years. The analysis identified five larger and five smaller clusters in the authors’ network of relationships, representing well-known domestic suicidal research groups. In suicidology, Lotka’s law also applies to the Hungarian sample. That is, few authors write the majority of studies, while the vast majority write only a few publications during their careers. A study’s average number of authors increased significantly during the examined period. Multi-author studies received significantly more citations than single-author studies. 74.4% of the announcements are in English, and 21.6% are in Hungarian.

CONCLUSIONS: The methods of bibliometric analysis and the “science of science” can help research groups identify new research directions. All of this can ultimately contribute to a better understanding of suicidal behavior, allowing answering social and scientific problems. The focus of future bibliometric research, in addition to foreign databases, could be the analysis of a broader time interval with the help of Hungarian databases (e.g., MATARKA).

PMID:37982267

Psychiatriki. 2023 Nov 14. doi: 10.22365/jpsych.2023.027. Online ahead of print.

ABSTRACT

Chronic Low Back Pain (CLBP) is a very common health problem that has a great negative impact on the quality of life and the psychological well-being of backache patients. Literature findings have shown that a conventional physiotherapeutic approach is a beneficial choice for CLBP management. The aim of this study was to examine the short-term effects of a conservative physical treatment on depression, anxiety, somatic symptom disorders (SSD), quality of life, pain and disability in Greek individuals suffering from CLBP. Seventy-five CLBP patients were recruited using random systematic sampling. All subjects received ultrasound, low-level laser, massage, transcutaneous electrical nerve stimulation (ΤENS) and alongside an exercise program (sum of 10 sessions, 5 times per week). The intervention was assessed by comparing pre and post outcome measurements based on the Hospital Anxiety and Depression Scale (HADS), Somatic Symptom Scale-8 (SSS-8), EuroQol 5-dimension 5-level (EQ-5D-5L), Roland-Morris Disability Questionnaire (RMDQ) and Pain Numerical Rating Scale (PNRS) instruments. The mean age of the sample was 60.8 years (±14.4) and nearly one out of four (25.3%) was obese. After the end of the treatment, there were improvements in EQ-5D-5L indices and decreases in HADS, SSS-8, RMDQ and PNRS scores, which were found to be statistically significant. Greater effect size was found in PNRS (d=0.75), followed by EQ-5D-5L index value scale (d=0.42), SSS-8 (d=0.38), EQ-5D-5L VAS (d=0.36), RMDQ (d=0.29), HADS-A (d=0.16) and HADS-D (d=0.14). Men and women had similar changes in all under-study scales after the treatment, while besides pain scale, the pre-intervention scores as well as the degree of change in all scores were similar across all Body Mass Index (BMI) levels. In conclusion, convectional physical treatment was found to be an effective option in improving considerably the psychological status and quality of life, while also decreasing functional disability and pain in CLBP patients in the short run.

PMID:37982251 | DOI:10.22365/jpsych.2023.027

Clin Trials. 2023 Nov 20:17407745231211272. doi: 10.1177/17407745231211272. Online ahead of print.

ABSTRACT

BACKGROUND: After an initial recommendation from the World Health Organisation, trials of patients hospitalised with COVID-19 often include an ordinal clinical status outcome, which comprises a series of ordered categorical variables, typically ranging from ‘Alive and discharged from hospital’ to ‘Dead’. These ordinal outcomes are often analysed using a proportional odds model, which provides a common odds ratio as an overall measure of effect, which is generally interpreted as the odds ratio for being in a higher category. The common odds ratio relies on the assumption of proportional odds, which implies an identical odds ratio across all ordinal categories; however, there is generally no statistical or biological basis for which this assumption should hold; and when violated, the common odds ratio may be a biased representation of the odds ratios for particular categories within the ordinal outcome. In this study, we aimed to evaluate to what extent the common odds ratio in published COVID-19 trials differed to simple binary odds ratios for clinically important outcomes.

METHODS: We conducted a systematic review of randomised trials evaluating interventions for patients hospitalised with COVID-19, which used a proportional odds model to analyse an ordinal clinical status outcome, published between January 2020 and May 2021. We assessed agreement between the common odds ratio and the odds ratio from a standard logistic regression model for three clinically important binary outcomes: ‘Alive’, ‘Alive without mechanical ventilation’, and ‘Alive and discharged from hospital’.

RESULTS: Sixteen randomised clinical trials, comprising 38 individual comparisons, were included in this study; of these, only 6 trials (38%) formally assessed the proportional odds assumption. The common odds ratio differed by more than 25% compared to the binary odds ratios in 55% of comparisons for the outcome ‘Alive’, 37% for ‘Alive without mechanical ventilation’, and 24% for ‘Alive and discharged from hospital’. In addition, the common odds ratio systematically underestimated the odds ratio for the outcome ‘Alive’ by -16.8% (95% confidence interval: -28.7% to -2.9%, p = 0.02), though differences for the other outcomes were smaller and not statistically significant (-8.4% for ‘Alive without mechanical ventilation’ and 3.6% for ‘Alive and discharged from hospital’). The common odds ratio was statistically significant for 18% of comparisons, while the binary odds ratio was significant in 5%, 16%, and 3% of comparisons for the outcomes ‘Alive’, ‘Alive without mechanical ventilation’, and ‘Alive and discharged from hospital’, respectively.

CONCLUSION: The common odds ratio from proportional odds models often differs substantially to odds ratios from clinically important binary outcomes, and similar to composite outcomes, a beneficial common OR from a proportional odds model does not necessarily indicate a beneficial effect on the most important categories within the ordinal outcome.

PMID:37982237 | DOI:10.1177/17407745231211272