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Nevin Manimala Statistics

Shape variation in cranium, mandible and teeth in selected mouse strains

Anat Histol Embryol. 2024 Jul;53(4):e13064. doi: 10.1111/ahe.13064.

ABSTRACT

There are different strains of laboratory mouse used in many different fields. These strains differ anatomically. In order to determine these anatomical differences, shape analysis was conducted according to species. CD-1, C57bl/6 and Balb-c strains were preferred to study these differences. Forty-eight adult mouse strains belonging to these strains were utilized. The bones were photographed and geometric morphometry was applied to these photographs. Principal Component Analysis was applied to determine shape variations. In Principal component 1 for cranium, CD-1 and C57bl/6 strain groups showed different shape variations, while Balb-c strain group showed similar shape variations to the other strain groups. Principal Component 1 for the mandible separated the CD-1 and C57bl/6 strain groups in terms of shape variation. Principal Component 2 explained most of the variation between the C57bl/6 and CD-1 lineage groups. In PC1 for molars, the CD-1 group showed a different shape variation from the other groups. Mahalanobis distances and Procrustes distances were measured using Canonical variance analysis to explain the differences between the lineage groups. These measurements were statistically significant. For cranium, in canonical variate 1, CD-1 group of mouse and Balb-c group of mouse were separated from each other. In canonical variate 2, C57bl/6 group of mouse were separated from the other groups. For mandible, Balb-c group of mouse in canonical variate 1 and CD-1 group of mouse in canonical variate 2 were separated from the other groups. For molars, CD-1 group of mouse in canonical variate 1 and Balb-c group of mouse in canonical variate 2 were separated from the other groups. It was thought that these anatomical differences could be caused by genotypic factors as well as dietary differences and many different habits that would affect the way their muscles work.

PMID:38841825 | DOI:10.1111/ahe.13064

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Nevin Manimala Statistics

Uniportal Full-endoscopic Foraminotomy for Lumbar Foraminal Stenosis: Clinical Characteristics and Functional Outcomes

Orthop Surg. 2024 Jun 6. doi: 10.1111/os.14102. Online ahead of print.

ABSTRACT

OBJECTIVE: Uniportal full-endoscopic foraminotomy offers a promising alternative to conventional surgical methods for individuals afflicted by lumbar foraminal stenosis. This study aims to evaluate the efficacy and clinical outcomes of uniportal full-endoscopic foraminotomy in patients diagnosed with lumbar foraminal stenosis.

METHODS: A comprehensive retrospective analysis was conducted on individuals who underwent full-endoscopic foraminotomy in our medical center, between January 2018 and December 2019. The investigation encompassed the demographic data of patients and key clinical metrics such as the visual analogue scale of leg (VAS-L) and back pain (VAS-B), Oswestry disability index (ODI) scores, the Short Form-36 Health Survey physical component summary (SF-36 PCS) and the mental component summary (SF-36 MCS), as well as modified MacNab grades, were systematically assessed and compared. Furthermore, radiological parameters: Coronal Cobb angle (CCA), Intervertebral angle changes (IAC), Disc height index (DHI), the foraminal cross-sectional area (FCSA) and the FCSA enlargement ratio were also compared. A variety of statistical analyses including Student t-test, chi-square tests, Fisher’s exact tests, Pearson’s and Spearman’s correlation analyses, and Interclass Correlation Coefficients (ICCs) were employed.

RESULTS: 64 patients, including 34 males and 30 females were enrolled. The mean follow-up period extended to 22.66 ± 7.05 months. Distribution by affected segments revealed 26.6% at L4-5, 67.1% at L5-S1 level, and 6.25% at both L4-L5 and L5-S1 levels. At the final follow-up, VAS-L decreased from 7.26 ± 1.19 to 1.37 ± 1.25, while VAS-B decreased from 6.95 ± 0.54 to 1.62 ± 1.13 (p < 0.001). ODI score also demonstrated a substantial decrease from 74.73 ± 8.68 to 23.27 ± 8.71 (p < 0.001). Both SF-36 PCS and SF-36 MCS scores improved significantly (p < 0.001). Modified MacNab criteria revealed 58 excellent-good patients (90.7%), and 6 fair-poor patients (9.3%). No significant differences were founded in the CCA (p = 0.1065), IAC (p = 0.5544), and DHI (p = 0.1348) between pre-operation and the final follow-up. However, the FCSA significantly increased from 73.41 ± 11.75 to 173.40 ± 18.62 mm2 (p < 0.001), and the enlargement ratio was 142.9% ± 49.58%. Notably, the final follow-up FCSA and the FCSA enlargement ratio were found to be larger in the excellent and good group compared to the fair and poor group, according to the modified MacNab criteria.

CONCLUSION: The utilization of uniportal full-endoscopic foraminotomy has demonstrated its safety and efficacy in addressing lumbar foraminal stenosis. The clinical success of this procedure appears to be closely associated with the radiological decompression of the intervertebral foramen area. Importantly, the application of this technology does not seem to compromise the overall stability of the lumbar region.

PMID:38841821 | DOI:10.1111/os.14102

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Nevin Manimala Statistics

Comparison of Doses to Parotid, Temporomandibular Joint, and Pharyngeal Constrictor Muscles Using Different Techniques in Radiotherapy for Oropharyngeal Cancer

Technol Cancer Res Treat. 2024 Jan-Dec;23:15330338241260646. doi: 10.1177/15330338241260646.

ABSTRACT

OBJECTIVE: The purpose of this research was to compare two treatment techniques for oropharyngeal cancers: conventional linac-based static intensity-modulated radiotherapy (sIMRT) and helical tomotherapy (HT). The study examined several parameters, including target coverage, organs at risk, integral dose, and beam on time. Additionally, the study evaluated the doses to the parotid, temporomandibular joint, and pharyngeal constrictor muscles, which are important for swallowing.

METHOD: The present study retrospectively analyzed the data of 13 patients with oropharyngeal cancer who underwent radiotherapy between 2019 and 2021. The treatment plans for each patient were regenerated using both sIMRT and HT treatment planning systems with the sequential boost method. The techniques were evaluated and compared based on dose-volume histogram, homogeneity index, and conformity index parameters. The target coverage and organs at risk were statistically compared for two techniques. Additionally, the doses received by the healthy tissue volume were obtained for integral dose evaluation. The beam on time for each technique was assessed.

RESULTS: When considering planning target volume evaluation, there was no difference in Dmeans between the two techniques and sIMRT demonstrated higher D2% values compared to the HT. The HT technique had better results for all organs at risk, such as the parotid, temporomandibular joint, and pharyngeal constrictor muscle. As for integral dose, it has been shown that the sIMRT technique provides better protection compared to HT. In addition, the beam on time was also longer with the HT technique.

CONCLUSION: Both techniques may provide optimal target coverage for patients with oropharyngeal cancer. HT conferred notable advantages, especially with regard to critical structures implicated in swallowing, such as the parotid, temporomandibular joint, and pharyngeal constrictor muscle, in comparison to sIMRT.

PMID:38841792 | DOI:10.1177/15330338241260646

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Nevin Manimala Statistics

Causes of Death in Patients Asking for Polyclinic Care for Coronary Heart Disease

Kardiologiia. 2024 May 31;64(5):11-17. doi: 10.18087/cardio.2024.5.n2341.

ABSTRACT

AIM: Retrospective analysis of the underlying causes for death of patients who did and did not seek outpatient medical care (OPMC) for ischemic heart disease (IHD), and discussion of a possibility for using administrative anonymized but individualized databases for analysis.

MATERIAL AND METHODS: The electronic database of the Central Administration of the Civil Registry Office of the Moscow Region (Unified State Register of the Civil Registry Office of the Moscow Region), including medical death certificates (MDC) for 2021, was used to select all cases of fatal outcomes with the disease codes of the International Classification of Diseases, Tenth Revision (ICD-10) (codes of external causes, injuries, poisonings excluded) that were indicated as the primary cause of death (PCD). Personalized data of the deceased were combined with data from electronic medical records of patients who sought OPMC at institutions of the Moscow Region within up to 2 years before death. In addition to IHD, the following PCD codes were taken into account: malignant tumors, COVID-19, diabetes mellitus, cerebrovascular diseases, hypertension, chronic obstructive pulmonary disease, alcohol-associated diseases, and, as examples of unspecified PCD, old age and unspecified encephalopathy.Results In total, among those who died from diseases, the proportion of those who died from IHD was 18.9%; for another 8.4%, IHD was indicated as a comorbid disease in Part II of the MDC. Among those who sought OPMC for IHD, the IHD proportion indicated as PCD was 27.5%, and among those who did not seek OPMC 17.4% (p &lt;0.0001). Those who died from IHD and who had sought OPMC were older (mean age, 75.59 ± 10.94 years) than those who died from IHD and had not sought OMPM (mean age, 73.96 ± 10.94 years; p &lt; 0.0001). The frequency of myocardial infarction as PCD among those who had and had not sought OPMC was the same (12%), chronic forms of IHD were 83.9% and 79.7%, the frequencies of “unspecified” acute forms of IHD (codes I24.8-9) were 4.1% and 8.3%, respectively. The proportion of deaths from COVID-19 was the highest (21.7% and 24.3%, respectively), from malignant neoplasms 11.6% and 12.7%, respectively, and from unspecified encephalopathy 10.6% and 10.7%, respectively.

CONCLUSION: Only 25% of patients who had sought OPMC for IHD died from IHD, otherwise the causes of death were the same as for patients who had not sought OPMC for IHD. Analysis of administrative databases allows identifying disparities in the PCD structure and to direct the efforts of specialists to reconciling the criteria for death from various forms of IHD.

PMID:38841784 | DOI:10.18087/cardio.2024.5.n2341

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Nevin Manimala Statistics

Investigation of the behavior of tinnitus patients under varying listening conditions with simultaneous electroencephalography and pupillometry

Brain Behav. 2024 Jun;14(6):e3571. doi: 10.1002/brb3.3571.

ABSTRACT

OBJECTIVE: This study aims to control all hearing thresholds, including extended high frequencies (EHFs), presents stimuli of varying difficulty levels, and measures electroencephalography (EEG) and pupillometry responses to determine whether listening difficulty in tinnitus patients is effort or fatigue-related.

METHODS: Twenty-one chronic tinnitus patients and 26 matched healthy controls having normal pure-tone averages with symmetrical hearing thresholds were included. Subjects were evaluated with 0.125-20 kHz pure-tone audiometry, Montreal Cognitive Assessment Test (MoCA), Tinnitus Handicap Inventory (THI), EEG, and pupillometry.

RESULTS: Pupil dilatation and EEG alpha power during the “encoding” phase of the presented sentence in tinnitus patients were less in all listening conditions (p < .05). Also, there was no statistically significant relationship between EEG and pupillometry components for all listening conditions and THI or MoCA (p > .05).

CONCLUSION: EEG and pupillometry results under various listening conditions indicate potential listening effort in tinnitus patients even if all frequencies, including EHFs, are controlled. Also, we suggest that pupillometry should be interpreted with caution in autonomic nervous system-related conditions such as tinnitus.

PMID:38841736 | DOI:10.1002/brb3.3571

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Nevin Manimala Statistics

Anthropometric and performance changes in male college 15s Rugby Union student-athletes over 52 weeks using in-person training and online training supervision

J Sports Med Phys Fitness. 2024 Jun 4. doi: 10.23736/S0022-4707.24.15726-X. Online ahead of print.

ABSTRACT

BACKGROUND: Although the physiological demands on 15s Rugby Union (RU) players have increased, researchers have suggested that the anthropometric and performance data from developing male college-age RU student-athletes remain limited. This prospective longitudinal repeated measures study aimed to examine the anthropometric and performance changes of male college-age New Zealand Rugby Otago Rugby Football Union (NZRORFU) Academy student-athletes (student-athletes), using in-person and online training supervision (IPTS and OTS, respectively).

METHODS: NZRORFU recruited 20 student-athletes (aged 19 to 21 years) and nine were monitored over 52 weeks. During weeks 1 through 35 (in-season), the student-athlete’s weekly schedule included 25 hours of IPTS. During the remaining 17 weeks (off-season), the student-athletes followed individualized training programs with OTS. Data were collected on two anthropometric variables and nine performance variables.

RESULTS: Over the 52 weeks, using IPTS and OTS, led to increases in both anthropometric measurements with simultaneous significant performance improvements in vertical jump/lower-body power (7.1%, P=0.005, 95% confidence interval (95% CI) 54.4, 63.5), Cohen’s effect size (ES) =medium, upper-body strength, bench-press (17.3%, P=0.005, 95% CI 107.4, 127.6, ES=large), and bench-pull (6.1%, P=0.034, 95% CI 90.4, 96.6, ES=large). Furthermore, performance improvements were observed in two anaerobic endurance variables, however, acceleration and speed results were slower.

CONCLUSIONS: The use of IPTS and OTS for 52 weeks resulted in increases in body weight and skinfolds with concurrent significant improvements in the performance of VJ/lower-body power and upper-body strength, but changes in each performance variable occurred at different periods.

PMID:38841728 | DOI:10.23736/S0022-4707.24.15726-X

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Host genetics and COVID-19 severity: increasing the accuracy of latest severity scores by Boolean quantum features

Front Genet. 2024 May 22;15:1362469. doi: 10.3389/fgene.2024.1362469. eCollection 2024.

ABSTRACT

The impact of common and rare variants in COVID-19 host genetics has been widely studied. In particular, in Fallerini et al. (Human genetics, 2022, 141, 147-173), common and rare variants were used to define an interpretable machine learning model for predicting COVID-19 severity. First, variants were converted into sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. After that, the Boolean features, selected by these logistic models, were combined into an Integrated PolyGenic Score (IPGS), which offers a very simple description of the contribution of host genetics in COVID-19 severity.. IPGS leads to an accuracy of 55%-60% on different cohorts, and, after a logistic regression with both IPGS and age as inputs, it leads to an accuracy of 75%. The goal of this paper is to improve the previous results, using not only the most informative Boolean features with respect to the genetic bases of severity but also the information on host organs involved in the disease. In this study, we generalize the IPGS adding a statistical weight for each organ, through the transformation of Boolean features into “Boolean quantum features,” inspired by quantum mechanics. The organ coefficients were set via the application of the genetic algorithm PyGAD, and, after that, we defined two new integrated polygenic scores (IPGSph1 and IPGSph2). By applying a logistic regression with both IPGS, (IPGSph2 (or indifferently IPGSph1) and age as inputs, we reached an accuracy of 84%-86%, thus improving the results previously shown in Fallerini et al. (Human genetics, 2022, 141, 147-173) by a factor of 10%.

PMID:38841724 | PMC:PMC11150643 | DOI:10.3389/fgene.2024.1362469

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Nevin Manimala Statistics

Genetic variants in DBC1, SIRT1, UCP2 and ADRB2 as potential biomarkers for severe obesity and metabolic complications

Front Genet. 2024 May 22;15:1363417. doi: 10.3389/fgene.2024.1363417. eCollection 2024.

ABSTRACT

INTRODUCTION: Obesity is a multifactorial disease associated with the development of many comorbidities. This disease is associated with several metabolic alterations; however, it has been shown that some individuals with obesity do not exhibit metabolic syndrome. Adipose tissue neutralizes the detrimental effects of circulating fatty acids, ectopic deposition, and inflammation, among others, through its esterification into neutral lipids that are stored in the adipocyte. However, when the adipocyte is overloaded, i.e., its expansion capacity is exceeded, this protection is lost, resulting in fatty acid toxicity with ectopic fat accumulation in peripheral tissues and inflammation. In this line, this study aimed to investigate whether polymorphisms in genes that control adipose tissue fat storage capacity are potential biomarkers for severe obesity susceptibility and also metabolic complications.

METHODS: This study enrolled 305 individuals with severe obesity (cases, BMI≥35 kg/m2) and 196 individuals with normal weight (controls, 18.5≤BMI≤24.9 kg/m2). Demographic, anthropometric, biochemical, and blood pressure variables were collected from the participants. Plasma levels of leptin, resistin, MCP1, and PAI1 were measured by Bio-Plex 200 Multiplexing Analyzer System. Genomic DNA was extracted and variants in DBC1 (rs17060940), SIRT1 (rs7895833 and rs1467568), UCP2 (rs660339), PPARG (rs1801282) and ADRB2 (rs1042713 and rs1042714) genes were genotyped by PCR allelic discrimination using TaqMan® assays.

RESULTS: Our findings indicated that SIRT1 rs7895833 polymorphism was a risk factor for severe obesity development in the overdominant model. SIRT1 rs1467568 and UCP2 rs660339 were associated with anthropometric traits. SIRT1 rs1467568 G allele was related to lower medians of body adipose index and hip circumference, while the UCP2 rs660339 AA genotype was associate with increased body mass index. Additionally, DBC1 rs17060940 influenced glycated hemoglobin. Regarding metabolic alterations, 27% of individuals with obesity presented balanced metabolic status in our cohort. Furthermore, SIRT1 rs1467568 AG genotype increased 2.5 times the risk of developing metabolic alterations. No statistically significant results were observed with Peroxisome Proliferator-Activated Receptor Gama and ADRB2 polymorphisms.

DISCUSSION/CONCLUSION: This study revealed that SIRT1 rs7895833 and rs1467568 are potential biomarkers for severe obesity susceptibility and the development of unbalanced metabolic status in obesity, respectively. UCP2 rs660339 and DBC1 rs17060940 also showed a significant role in obesity related-traits.

PMID:38841722 | PMC:PMC11151296 | DOI:10.3389/fgene.2024.1363417

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Long-term benzodiazepine prescriptions in community psychiatry clinics

S Afr J Psychiatr. 2024 May 3;30:2181. doi: 10.4102/sajpsychiatry.v30i0.2181. eCollection 2024.

ABSTRACT

BACKGROUND: Anecdotal evidence indicates that the prevalence of long-term benzodiazepine prescription is high and not in accordance with accepted prescribing guidelines.

AIM: To determine the prevalence of long-term prescriptions of benzodiazepines and associations thereof in community psychiatry clinics.

SETTING: Of the 27 community psychiatry clinics, 5 were randomly selected.

METHODS: A descriptive, retrospective, and cross-sectional record review of files of 126 adult patients was conducted, to obtain sociodemographic and clinical characteristics. Descriptive statistics were presented as proportions and percentages. Fisher’s exact test was used to determine any associations between long-term benzodiazepines use and demographic and clinical variables. Regression analyses were performed to determine the significance of any such associations.

RESULTS: Approximately one out of every four patients were prescribed benzodiazepines. Most of the patients were males aged between 18 and 50 years, single and unemployed. The most common psychiatric diagnoses were bipolar disorders and psychotic disorders, and the majority had no comorbid medical illnesses or substance use. Ninety-three per cent of the patients were prescribed long-term (more than 180 days) benzodiazepines. There were no statistically significant associations between prescribing patterns and any sociodemographic and clinical characteristics (p > 0.05).

CONCLUSION: This study found that nearly all the benzodiazepine prescriptions were long-term (over 180 days) and no statistically significant associations between this practice and any sociodemographic and clinical characteristics could be established.

CONTRIBUTION: There is high prevalence rate of long-term benzodiazepine prescription in community psychiatry clinics, and as such clinical monitoring systems need to be established and enforced.

PMID:38841713 | PMC:PMC11151410 | DOI:10.4102/sajpsychiatry.v30i0.2181

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Predicting the recurrence of spontaneous intracerebral hemorrhage using a machine learning model

Front Neurol. 2024 May 22;15:1407014. doi: 10.3389/fneur.2024.1407014. eCollection 2024.

ABSTRACT

BACKGROUND: Recurrence can worsen conditions and increase mortality in ICH patients. Predicting the recurrence risk and preventing or treating these patients is a rational strategy to improve outcomes potentially. A machine learning model with improved performance is necessary to predict recurrence.

METHODS: We collected data from ICH patients in two hospitals for our retrospective training cohort and prospective testing cohort. The outcome was the recurrence within one year. We constructed logistic regression, support vector machine (SVM), decision trees, Voting Classifier, random forest, and XGBoost models for prediction.

RESULTS: The model included age, NIHSS score at discharge, hematoma volume at admission and discharge, PLT, AST, and CRP levels at admission, use of hypotensive drugs and history of stroke. In internal validation, logistic regression demonstrated an AUC of 0.89 and precision of 0.81, SVM showed an AUC of 0.93 and precision of 0.90, the random forest achieved an AUC of 0.95 and precision of 0.93, and XGBoost scored an AUC of 0.95 and precision of 0.92. In external validation, logistic regression achieved an AUC of 0.81 and precision of 0.79, SVM obtained an AUC of 0.87 and precision of 0.76, the random forest reached an AUC of 0.92 and precision of 0.86, and XGBoost recorded an AUC of 0.93 and precision of 0.91.

CONCLUSION: The machine learning models performed better in predicting ICH recurrence than traditional statistical models. The XGBoost model demonstrated the best comprehensive performance for predicting ICH recurrence in the external testing cohort.

PMID:38841700 | PMC:PMC11150637 | DOI:10.3389/fneur.2024.1407014