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Nevin Manimala Statistics

Association between tongue, lips position and breathing in newborns

Codas. 2023 Oct 13;35(5):e20220049. doi: 10.1590/2317-1782/20232022049pt. eCollection 2023.

ABSTRACT

PURPOSE: To verify the association between breathing nasal expiratory flow and posture of lips and tongue at rest, presence of repeated forward movements of the tongue and maternal complaint of respiratory difficulty in the newborn in the first days of life.

METHOD: A observational study was carried out in 130 babies, in a university hospital. Included newborn with Apgar score greater than or equal to 8 in exclusive breast milk. It was the following data: position of lips and tongue at rest, nasal expiratory flow and maternal complaint of difficulty in breathing in the newborn. The data were subjected to statistical analysis using the tests, Fisher’s exact test and the Chi-Square test, adopting a significance level of 5% .

RESULTS: there was a significant association between maternal complaint of newborn difficulty breathing with repeated forward tongue movements and nasal expiratory flow; tongue position with resting lips position at rest, repeated tongue forward movements with nasal expiratory flow and tongue position at rest; nasal expiratory flow exit with tongue position at rest.

CONCLUSION: Symmetrical nasal expiratory flow is associated with an elevated tongue position and closed lips at rest; on the other hand, increased and/or absent nasal expiatory flow in one nostril is associated with maternal complaints of difficulty in breathing, open/ half-open lips position and low tongue position during rest, as well as, repeated forward tongue movements.

PMID:37851717 | DOI:10.1590/2317-1782/20232022049pt

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Nevin Manimala Statistics

Catalyst: Fast and flexible modeling of reaction networks

PLoS Comput Biol. 2023 Oct 18;19(10):e1011530. doi: 10.1371/journal.pcbi.1011530. eCollection 2023 Oct.

ABSTRACT

We introduce Catalyst.jl, a flexible and feature-filled Julia library for modeling and high-performance simulation of chemical reaction networks (CRNs). Catalyst supports simulating stochastic chemical kinetics (jump process), chemical Langevin equation (stochastic differential equation), and reaction rate equation (ordinary differential equation) representations for CRNs. Through comprehensive benchmarks, we demonstrate that Catalyst simulation runtimes are often one to two orders of magnitude faster than other popular tools. More broadly, Catalyst acts as both a domain-specific language and an intermediate representation for symbolically encoding CRN models as Julia-native objects. This enables a pipeline of symbolically specifying, analyzing, and modifying CRNs; converting Catalyst models to symbolic representations of concrete mathematical models; and generating compiled code for numerical solvers. Leveraging ModelingToolkit.jl and Symbolics.jl, Catalyst models can be analyzed, simplified, and compiled into optimized representations for use in numerical solvers. Finally, we demonstrate Catalyst’s broad extensibility and composability by highlighting how it can compose with a variety of Julia libraries, and how existing open-source biological modeling projects have extended its intermediate representation.

PMID:37851697 | DOI:10.1371/journal.pcbi.1011530

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Nevin Manimala Statistics

Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis

PLoS One. 2023 Oct 18;18(10):e0287367. doi: 10.1371/journal.pone.0287367. eCollection 2023.

ABSTRACT

Social media has been tremendously used worldwide for a variety of purposes. Therefore, engagement activities such as comments have attracted many scholars due its ability to reveal many critical findings, such as the role of users’ sentiment. However, there is a lacuna on how to detect crisis based on users’ sentiment through comments, and for such, we explore framing theory in the study herein to determine users’ sentiment in predicting crisis. Generic content framing theory consists of conflict, economic, human interest, morality, and responsibility attributes frame as independent variables whilst sentiment as dependent variables. Comments from selected Facebook posting case studies were extracted and analysed using sentiment analysis via Application Programme Interface (API) webtool. The comments were then further analysed using content analysis via Positive and Negative Affect Schedule (PANAS) scale and statistically evaluated using SEM-PLS. Model shows that 44.8% of emotion and reactions towards sensitive issue posting are influenced by independent variables. Only economic consequences and responsibility attributes frame had correlation towards emotion and reaction at p<0.05. News reporting on direction towards economic and responsibility attributes sparks negative sentiment, which proves that it can best be described as pre-crisis detection to assist the Royal Malaysian Police and other relevant stakeholders to prevent criminal activities in their respective social media.

PMID:37851696 | DOI:10.1371/journal.pone.0287367

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Nevin Manimala Statistics

Prenatal and postnatal challenges affect the hypothalamic molecular pathways that regulate hormonal levels

PLoS One. 2023 Oct 18;18(10):e0292952. doi: 10.1371/journal.pone.0292952. eCollection 2023.

ABSTRACT

This study aimed to improve our understanding of how the hypothalamus mediates the effects of prenatal and postnatal challenges on behavior and sensitivity to stimuli. A pig model of virally initiated maternal immune activation (MIA) was used to investigate potential interactions of the prenatal challenge both with sex and with postnatal nursing withdrawal. The hypothalami of 72 females and males were profiled for the effects of MIA and nursing withdrawal using RNA-sequencing. Significant differential expression (FDR-adjusted p value < 0.05) was detected in the profile of 222 genes. Genes involved in the Gene Ontology biological process of regulation of hormone levels tended to be over-expressed in individuals exposed to both challenges relative to individuals exposed to either one challenge, and most of these genes were over-expressed in MIA females relative to males across nursing levels. Differentially expressed genes included Fshb, Ttr, Agrp, Gata3, Foxa2, Tfap2b, Gh1, En2, Cga, Msx1, and Npy. The study also found that prenatal and postnatal challenges, as well as sex, impacted the regulation of neurotransmitter activity and immune effector processes in the hypothalamus. In particular, the olfactory transduction pathway genes were over-expressed in weaned MIA males, and several transcription factors were potentially found to target the differentially expressed genes. Overall, these results highlight how multiple environmental challenges can interact and affect the molecular mechanisms of the hypothalamus, including hormonal, immune response, and neurotransmitter processes.

PMID:37851674 | DOI:10.1371/journal.pone.0292952

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Nevin Manimala Statistics

Association Between Pelvic Inflammatory Disease and Risk of Endometriosis: A Systematic Review and Meta-Analysis

J Womens Health (Larchmt). 2023 Oct 17. doi: 10.1089/jwh.2023.0300. Online ahead of print.

ABSTRACT

Background: Endometriosis is a common chronic disorder, which leads to dysmenorrhea, dyspareunia, pelvic chronic pain, and infertility. It affects ∼6% to 10% of the general female population. However, the etiology of endometriosis remained unclear. We aimed to systematically assess the association between pelvic inflammatory disease (PID) and the risk of endometriosis. Materials and Methods: Eligible studies published until May 21, 2022, were retrieved from the PubMed, EMBASE, and Web of Science databases. The studies were included based on the following criteria: (1) original articles on the association between PID and risk of endometriosis; (2) randomized controlled trials and cross-sectional, case-control, and cohort studies; and (3) studies involving humans. The Newcastle-Ottawa Quality Assessment Scale was used to assess the quality of the studies included in this systematic review. The association between PID and risk of endometriosis was evaluated using the overall odds ratio (OR) and correlative 95% confidence interval (CI). Results: The meta-analysis included 14 studies with 747,733 patients. The mean prevalence of PID in women with endometriosis was 33.80%. Our quantitative synthesis revealed that endometritis was associated with a significantly increased risk of endometriosis (OR: 1.63, 95% CI: 1.53-1.74, I2 = 59%). Conclusion: We study a statistically significant association between PID and the risk of endometriosis. In particular, endometritis might play an important role in endometriosis, based on the lower heterogeneity of the subgroup analysis. This finding suggests that reducing the incidence of endometritis might aid in the prevention and treatment of endometriosis.

PMID:37851499 | DOI:10.1089/jwh.2023.0300

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Nevin Manimala Statistics

Health Care Trainees’ and Professionals’ Perceptions of ChatGPT in Improving Medical Knowledge Training: Rapid Survey Study

J Med Internet Res. 2023 Oct 18;25:e49385. doi: 10.2196/49385.

ABSTRACT

BACKGROUND: ChatGPT is a powerful pretrained large language model. It has both demonstrated potential and raised concerns related to knowledge translation and knowledge transfer. To apply and improve knowledge transfer in the real world, it is essential to assess the perceptions and acceptance of the users of ChatGPT-assisted training.

OBJECTIVE: We aimed to investigate the perceptions of health care trainees and professionals on ChatGPT-assisted training, using biomedical informatics as an example.

METHODS: We used purposeful sampling to include all health care undergraduate trainees and graduate professionals (n=195) from January to May 2023 in the School of Public Health at the National Defense Medical Center in Taiwan. Subjects were asked to watch a 2-minute video introducing 5 scenarios about ChatGPT-assisted training in biomedical informatics and then answer a self-designed online (web- and mobile-based) questionnaire according to the Kirkpatrick model. The survey responses were used to develop 4 constructs: “perceived knowledge acquisition,” “perceived training motivation,” “perceived training satisfaction,” and “perceived training effectiveness.” The study used structural equation modeling (SEM) to evaluate and test the structural model and hypotheses.

RESULTS: The online questionnaire response rate was 152 of 195 (78%); 88 of 152 participants (58%) were undergraduate trainees and 90 of 152 participants (59%) were women. The ages ranged from 18 to 53 years (mean 23.3, SD 6.0 years). There was no statistical difference in perceptions of training evaluation between men and women. Most participants were enthusiastic about the ChatGPT-assisted training, while the graduate professionals were more enthusiastic than undergraduate trainees. Nevertheless, some concerns were raised about potential cheating on training assessment. The average scores for knowledge acquisition, training motivation, training satisfaction, and training effectiveness were 3.84 (SD 0.80), 3.76 (SD 0.93), 3.75 (SD 0.87), and 3.72 (SD 0.91), respectively (Likert scale 1-5: strongly disagree to strongly agree). Knowledge acquisition had the highest score and training effectiveness the lowest. In the SEM results, training effectiveness was influenced predominantly by knowledge acquisition and partially met the hypotheses in the research framework. Knowledge acquisition had a direct effect on training effectiveness, training satisfaction, and training motivation, with β coefficients of .80, .87, and .97, respectively (all P<.001).

CONCLUSIONS: Most health care trainees and professionals perceived ChatGPT-assisted training as an aid in knowledge transfer. However, to improve training effectiveness, it should be combined with empirical experts for proper guidance and dual interaction. In a future study, we recommend using a larger sample size for evaluation of internet-connected large language models in medical knowledge transfer.

PMID:37851495 | DOI:10.2196/49385

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Nevin Manimala Statistics

Estimated Average Treatment Effect of Psychiatric Hospitalization in Patients With Suicidal Behaviors: A Precision Treatment Analysis

JAMA Psychiatry. 2023 Oct 18. doi: 10.1001/jamapsychiatry.2023.3994. Online ahead of print.

ABSTRACT

IMPORTANCE: Psychiatric hospitalization is the standard of care for patients presenting to an emergency department (ED) or urgent care (UC) with high suicide risk. However, the effect of hospitalization in reducing subsequent suicidal behaviors is poorly understood and likely heterogeneous.

OBJECTIVES: To estimate the association of psychiatric hospitalization with subsequent suicidal behaviors using observational data and develop a preliminary predictive analytics individualized treatment rule accounting for heterogeneity in this association across patients.

DESIGN, SETTING, AND PARTICIPANTS: A machine learning analysis of retrospective data was conducted. All veterans presenting with suicidal ideation (SI) or suicide attempt (SA) from January 1, 2010, to December 31, 2015, were included. Data were analyzed from September 1, 2022, to March 10, 2023. Subgroups were defined by primary psychiatric diagnosis (nonaffective psychosis, bipolar disorder, major depressive disorder, and other) and suicidality (SI only, SA in past 2-7 days, and SA in past day). Models were trained in 70.0% of the training samples and tested in the remaining 30.0%.

EXPOSURES: Psychiatric hospitalization vs nonhospitalization.

MAIN OUTCOMES AND MEASURES: Fatal and nonfatal SAs within 12 months of ED/UC visits were identified in administrative records and the National Death Index. Baseline covariates were drawn from electronic health records and geospatial databases.

RESULTS: Of 196 610 visits (90.3% men; median [IQR] age, 53 [41-59] years), 71.5% resulted in hospitalization. The 12-month SA risk was 11.9% with hospitalization and 12.0% with nonhospitalization (difference, -0.1%; 95% CI, -0.4% to 0.2%). In patients with SI only or SA in the past 2 to 7 days, most hospitalization was not associated with subsequent SAs. For patients with SA in the past day, hospitalization was associated with risk reductions ranging from -6.9% to -9.6% across diagnoses. Accounting for heterogeneity, hospitalization was associated with reduced risk of subsequent SAs in 28.1% of the patients and increased risk in 24.0%. An individualized treatment rule based on these associations may reduce SAs by 16.0% and hospitalizations by 13.0% compared with current rates.

CONCLUSIONS AND RELEVANCE: The findings of this study suggest that psychiatric hospitalization is associated with reduced average SA risk in the immediate aftermath of an SA but not after other recent SAs or SI only. Substantial heterogeneity exists in these associations across patients. An individualized treatment rule accounting for this heterogeneity could both reduce SAs and avert hospitalizations.

PMID:37851457 | DOI:10.1001/jamapsychiatry.2023.3994

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Nevin Manimala Statistics

Genetic Variation and Sickle Cell Disease Severity: A Systematic Review and Meta-Analysis

JAMA Netw Open. 2023 Oct 2;6(10):e2337484. doi: 10.1001/jamanetworkopen.2023.37484.

ABSTRACT

IMPORTANCE: Sickle cell disease (SCD) is a monogenic disorder, yet clinical outcomes are influenced by additional genetic factors. Despite decades of research, the genetics of SCD remain poorly understood.

OBJECTIVE: To assess all reported genetic modifiers of SCD, evaluate the design of associated studies, and provide guidelines for future analyses according to modern genetic study recommendations.

DATA SOURCES: PubMed, Web of Science, and Scopus were searched through May 16, 2023, identifying 5290 publications.

STUDY SELECTION: At least 2 reviewers identified 571 original, peer-reviewed English-language publications reporting genetic modifiers of human SCD phenotypes, wherein the outcome was not treatment response, and the comparison was not between SCD subtypes or including healthy controls.

DATA EXTRACTION AND SYNTHESIS: Data relevant to all genetic modifiers of SCD were extracted, evaluated, and presented following STREGA and PRISMA guidelines. Weighted z score meta-analyses and pathway analyses were conducted.

MAIN OUTCOMES AND MEASURES: Outcomes were aggregated into 25 categories, grouped as acute complications, chronic conditions, hematologic parameters or biomarkers, and general or mixed measures of SCD severity.

RESULTS: The 571 included studies reported on 29 670 unique individuals (50% ≤ 18 years of age) from 43 countries. Of the 17 757 extracted results (4890 significant) in 1552 genes, 3675 results met the study criteria for meta-analysis: reported phenotype and genotype, association size and direction, variability measure, sample size, and statistical test. Only 173 results for 62 associations could be cross-study combined. The remaining associations could not be aggregated because they were only reported once or methods (eg, study design, reporting practice) and genotype or phenotype definitions were insufficiently harmonized. Gene variants regulating fetal hemoglobin and α-thalassemia (important markers for SCD severity) were frequently identified: 19 single-nucleotide variants in BCL11A, HBS1L-MYB, and HBG2 were significantly associated with fetal hemoglobin (absolute value of Z = 4.00 to 20.66; P = 8.63 × 10-95 to 6.19 × 10-5), and α-thalassemia deletions were significantly associated with increased hemoglobin level and reduced risk of albuminuria, abnormal transcranial Doppler velocity, and stroke (absolute value of Z = 3.43 to 5.16; P = 2.42 × 10-7 to 6.00 × 10-4). However, other associations remain unconfirmed. Pathway analyses of significant genes highlighted the importance of cellular adhesion, inflammation, oxidative and toxic stress, and blood vessel regulation in SCD (23 of the top 25 Gene Ontology pathways involve these processes) and suggested future research areas.

CONCLUSIONS AND RELEVANCE: The findings of this comprehensive systematic review and meta-analysis of all published genetic modifiers of SCD indicated that implementation of standardized phenotypes, statistical methods, and reporting practices should accelerate discovery and validation of genetic modifiers and development of clinically actionable genetic profiles.

PMID:37851445 | DOI:10.1001/jamanetworkopen.2023.37484

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Nevin Manimala Statistics

Treatment Rates for Mental Disorders Among Children and Adolescents: A Systematic Review and Meta-Analysis

JAMA Netw Open. 2023 Oct 2;6(10):e2338174. doi: 10.1001/jamanetworkopen.2023.38174.

ABSTRACT

IMPORTANCE: Mental disorders among children and adolescents are global health concerns. Published studies have provided discordant results regarding treatment rates for mental disorders among youths.

OBJECTIVE: To estimate combined treatment rates for several common psychiatric disorders among children and adolescents.

DATA SOURCES: PubMed, Web of Science, PsycINFO, Scopus, and Embase were searched from database inception until September 23, 2022, and supplemented with hand-searching of reference lists.

STUDY SELECTION: Included studies were those that used validated methods to report treatment rates for any mental disorder, depressive disorders, anxiety disorders, attention-deficit/hyperactivity disorder (ADHD), and behavior disorders among children and adolescents.

DATA EXTRACTION AND SYNTHESIS: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Two reviewers independently assessed study eligibility, extracted data, and scored quality. Studies with a Joanna Briggs Institute score of 5 or more were included in the meta-analysis. Treatment rates were pooled using random-effects models. Subgroup analyses were performed to investigate the association with treatment rates of factors, such as year of data collection, World Health Organization region, age, income level, timeframe of diagnosis, informant source, service type, sample origin, and internalizing or externalizing disorder.

MAIN OUTCOMES AND MEASURES: Treatment rates for mental disorders among children and adolescents were the main outcomes, measured as percentage estimates.

RESULTS: Forty studies were included in the analysis, comprising 310 584 children and adolescents, with boys accounting for 39% of participants (sex was not reported in 10 studies). The pooled treatment rate was 38% (95% CI, 30%-45%) for any mental disorder, 36% (95% CI, 29%-43%) for depressive disorders, 31% (95% CI, 21%-42%) for anxiety disorders, 58% (95% CI, 42%-73%) for ADHD, and 49% (95% CI, 35%-64%) for behavior disorders. Age, income level, and region were significantly associated with the combined treatment rates of mental disorders in children and adolescents. The treatment rate for depressive disorders was higher among adolescents than children (36% [95% CI, 25%-46%] vs 11% [95% CI, 0%-25%]), whereas the treatment rate for anxiety disorders was higher among children than adolescents (64% [95% CI, 52%-75%] vs 20% [95% CI, 9%-30%]). The treatment rate for any mental disorder in lower-middle income countries was 6% (95% CI, 2%-14%), in upper-middle income countries was 24% (95% CI, 2%-47%), and in high-income countries was 43% (95% CI, 35%-52%). For depressive disorders, treatment rates were higher in the Americas (40% [95% CI, 30%-51%]) than in Europe (28% [95% CI, 13%-43%]) and the Western Pacific region (6% [95% CI, 1%-16%]).

CONCLUSIONS AND RELEVANCE: This study suggests that, in general, the treatment rates for mental disorders among children and adolescents were low, especially for depression and anxiety. Targeted intervention policies and effective measures should be designed and implemented to improve treatment rates of psychiatric disorders among youths.

PMID:37851443 | DOI:10.1001/jamanetworkopen.2023.38174

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Nevin Manimala Statistics

Ultrasound-guided external oblique and rectus abdominis plane “EXORA” block for postoperative pain after laparoscopic cholecystectomy: a propensity-matched study

Minerva Anestesiol. 2023 Oct 18. doi: 10.23736/S0375-9393.23.17524-9. Online ahead of print.

ABSTRACT

BACKGROUND: Various types of plane blocks are used for analgesia in the upper abdomen. The purpose of this study was to evaluate the efficacy of the external oblique and rectus abdominis plane (EXORA) block for antero-lateral upper abdominal analgesia.

METHODS: This study included 60 patients undergoing laparoscopic cholecystectomy. Patients were divided into control group, intravenous patient-controlled analgesia (IV.PCA) (N.=30) and EXORA group (block with 25 mL 0.25% bupivacaine + IV.PCA [N.=30]). Postoperative pain (at rest) was evaluated at 30 minutes, two, four, six, 12 and 24 hours using Visual Analogue Scale (VAS) scores. Postoperative activity pain at two, four, six, 12 and 24 hours was also assessed using VAS. Secondary outcomes included tramadol use at 12 and 24 hours after surgery, side effect profile, dermatomal spread, and additional analgesic use.

RESULTS: The VAS scores were statistically significantly lower in the EXORA group compared to the two groups (P<0.001). In addition, mean tramadol consumption at the 12 and 24 hours was statistically significantly lower in the EXORA group (P<0.001). Sensory block was recorded in the lateral and anterior abdomen at T6 to T11 after EXORA block application.

CONCLUSIONS: The EXORA block used to provide analgesia after laparoscopic cholecystectomy was shown to provide analgesia in the upper abdominal wall. Further data may be obtained from cadaveric studies and other studies.

PMID:37851417 | DOI:10.23736/S0375-9393.23.17524-9