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Nevin Manimala Statistics

Effect of Heel Lift Insoles on Lower Extremity Muscle Activation and Joint Work during Barbell Squats

Bioengineering (Basel). 2022 Jul 8;9(7):301. doi: 10.3390/bioengineering9070301.

ABSTRACT

The effect of heel elevation on the barbell squat remains controversial, and further exploration of muscle activity might help find additional evidence. Therefore, 20 healthy adult participants (10 males and 10 females) were recruited for this study to analyze the effects of heel height on lower extremity kinematics, kinetics, and muscle activity using the OpenSim individualized musculoskeletal model. One-way repeated measures ANOVA was used for statistical analysis. The results showed that when the heel was raised, the participant’s ankle dorsiflexion angle significantly decreased, and the percentage of ankle work was increased (p < 0.05). In addition, there was a significant increase in activation of the vastus lateralis, biceps femoris, and gastrocnemius muscles and a decrease in muscle activation of the anterior tibialis muscle (p < 0.05). An increase in knee moments and work done and a reduction in hip work were observed in male subjects (p < 0.05). In conclusion, heel raises affect lower extremity kinematics and kinetics during the barbell squat and alter the distribution of muscle activation and biomechanical loading of the joints in the lower extremity of participants to some extent, and there were gender differences in the results.

PMID:35877352 | DOI:10.3390/bioengineering9070301

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Nevin Manimala Statistics

Identification of Secondary Biomechanical Abnormalities in the Lower Limb Joints after Chronic Transtibial Amputation: A Proof-of-Concept Study Using SPM1D Analysis

Bioengineering (Basel). 2022 Jun 30;9(7):293. doi: 10.3390/bioengineering9070293.

ABSTRACT

SPM is a statistical method of analysis of time-varying human movement gait signal, depending on the random field theory (RFT). MovementRx is our inhouse-developed decision-support system that depends on SPM1D Python implementation of the SPM (spm1d.org). We present the potential application of MovementRx in the prediction of increased joint forces with the possibility to predispose to osteoarthritis in a sample of post-surgical Transtibial Amputation (TTA) patients who were ambulant in the community. We captured the three-dimensional movement profile of 12 males with TTA and studied them using MovementRx, employing the SPM1D Python library to quantify the deviation(s) they have from our corresponding reference data, using “Hotelling 2” and “T test 2” statistics for the 3D movement vectors of the 3 main lower limb joints (hip, knee, and ankle) and their nine respective components (3 joints × 3 dimensions), respectively. MovementRx results visually demonstrated a clear distinction in the biomechanical recordings between TTA patients and a reference set of normal people (ABILITY data project), and variability within the TTA patients’ group enabled identification of those with an increased risk of developing osteoarthritis in the future. We conclude that MovementRx is a potential tool to detect increased specific joint forces with the ability to identify TTA survivors who may be at risk for osteoarthritis.

PMID:35877344 | DOI:10.3390/bioengineering9070293

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Nevin Manimala Statistics

hsa-miR-607, lncRNA TUG1 and hsa_circ_0071106 can be combined as biomarkers in type 2 diabetes mellitus

Exp Biol Med (Maywood). 2022 Jul 23:15353702221110648. doi: 10.1177/15353702221110648. Online ahead of print.

ABSTRACT

Type 2 diabetes mellitus (T2DM) is a multifactorial disorder that leads to alterations in gene regulation. ncRNAs have the characteristics of tissue specificity, disease specificity, timing specificity, high stability and post transcriptional regulation effect. These preconditions are more conducive to promote ncRNA to become a new biomarker for clinical diagnosis. Our study aims to explore the relationship between circRNA, lncRNA, miRNA and T2DM, and to evaluate their diagnostic value for T2DM. A total of 101 pairs of T2DM and controls were conducted in the study. QRT-PCR was used to study the differential expression of circRNAs, miRNAs and lncRNAs. ROC curve was used to estimate their diagnostic value in T2DM. Compared with healthy controls, the expression levels of hsa_circ_0071106, hsa_circ_0000284, hsa_circ_0071271, hsa-miR-29a-5p, hsa-miR-3690, hsa-miR-607, lncRNA MEG3 and lncRNA TUG1were higher in T2DM (all P < 0.05). The AUCs of hsa_circ_0071106, hsa-miR-607 and lncRNA TUG1 for diagnosis of T2DM were 0.563,0.645 and 0.642, respectively. The combined AUC of hsa-miR-607, lncRNA TUG1 and hsa_circ_0071106 was 0.798 ([0.720~0.875], P < 0.001). Moreover, the sensitivity of combined diagnosis was 75.2% and the specificity was 100.0%. The levels of lncRNA TUG1, hsa-miR-607 and hsa_circ_0071106 in peripheral blood have potential clinical diagnostic value for T2DM.

PMID:35876150 | DOI:10.1177/15353702221110648

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Nevin Manimala Statistics

Continuous Glucose Profiles in Healthy People With Fixed Meal Times and Under Everyday Life Conditions

J Diabetes Sci Technol. 2022 Jul 25:19322968221113341. doi: 10.1177/19322968221113341. Online ahead of print.

ABSTRACT

BACKGROUND: The increased use of continuous glucose monitoring (CGM) and automated insulin delivery systems raises the question about therapeutic targets for glucose profiles in people with diabetes. This study aimed to assess averaged pre- and postprandial glucose profiles in people without diabetes to provide guidance for normal glucose patterns in clinical practice. For that, number and timing of meal intake were predefined.

MATERIAL AND METHODS: To assess glucose traces in 36 participants without diabetes (mean age = 23.7 ± 5.7 years), CGM was performed for up to 14 days, starting with a run-in phase (first 3 days, excluded from analysis) followed by 4 days with fixed meal times at 8:00 am, 1:00 pm, and 6:00 pm and the remaining 7 days spent under everyday life conditions. Data from two simultaneously worn CGM sensors were averaged and adjusted to capillary plasma-equivalent glucose values. Glucose data were evaluated through descriptive statistics.

RESULTS: Median glucose concentration on days with fixed meal times and under everyday life conditions was 95.0 mg/dL (91.6-99.1 mg/dL, interquartile range) and 98.1 mg/dL (93.7-100.8 mg/dL), respectively. On days with fixed meal times, mean premeal glucose was 92.8 ± 9.4 mg/dL, and mean peak postmeal glucose was 143.3 ± 23.5 mg/dL.

CONCLUSIONS: By defining the time of meal intake, a clear pattern of distinct postprandial glucose excursions in participants without diabetes could be demonstrated and analyzed. The presented glucose profiles might be helpful as an estimate for adequate clinical targets in people with diabetes.

PMID:35876145 | DOI:10.1177/19322968221113341

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Nevin Manimala Statistics

Statistical Concern Regarding the Relationship of Change in Mucus Plug Score with Airflow Over Time

Am J Respir Crit Care Med. 2022 Jul 23. doi: 10.1164/rccm.202207-1273LE. Online ahead of print.

NO ABSTRACT

PMID:35876144 | DOI:10.1164/rccm.202207-1273LE

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Nevin Manimala Statistics

Reply to: Statistical Concern Regarding the Relationship of Change in Mucus Plug Score with Airflow Over Time

Am J Respir Crit Care Med. 2022 Jul 23. doi: 10.1164/rccm.202207-1337LE. Online ahead of print.

NO ABSTRACT

PMID:35876128 | DOI:10.1164/rccm.202207-1337LE

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Nevin Manimala Statistics

Health utilities in Chinese patients with coronary heart disease and impaired glucose tolerance (ACE): A longitudinal analysis of a randomized, double-blind, placebo-controlled trial

J Diabetes. 2022 Jul;14(7):455-464. doi: 10.1111/1753-0407.13294.

ABSTRACT

BACKGROUND: We estimate health-related quality of life and the impact of four cardiovascular events (myocardial infarction [MI], stroke, congestive heart failure, angina) and gastrointestinal events in 6522 Chinese patients with coronary heart disease (CHD) and impaired glucose tolerance (IGT) participating in the Acarbose Cardiovascular Evaluation (ACE) trial.

METHODS: Health-related quality of life was captured using the EuroQol-5 Dimension-3 Level (EQ-5D-3L), with data collected at baseline and throughout the trial. Multilevel mixed-effects linear regression with random effects estimated health-related quality of life over time, capturing variation between hospital sites and individuals, and a fixed-effects linear model estimated the impact of cardiovascular and gastrointestinal events.

RESULTS: Patients were followed for a median of 5 years (interquartile range 3.4-6.0). The average baseline EQ-5D score of 0.930 (SD 0.104) remained relatively unchanged over the trial period with no evidence of statistically significant differences in EQ-5D score between randomized treatment groups. The largest decrement in the year of an event was estimated for stroke (-0.107, P < .001), followed by heart failure (-0.039, P = .022), MI (-0.021, P = .047), angina (-0.012, P = .047), and gastrointestinal events (-0.005, P = .430). MI and stroke reduced health-related quality of life beyond the year in which the event occurred (-0.031, P = .006, and -0.067, P < .001, respectively).

CONCLUSIONS: Acarbose treatment had no impact on health-related quality of life in ACE trial participants with CHD and IGT. Events such as MI, stroke, heart failure, and angina reduce health-related quality of life around the time they occurred, but only MI and stroke impacted on longer-term health-related quality of life.

PMID:35876124 | DOI:10.1111/1753-0407.13294

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Nevin Manimala Statistics

What can occupancy models gain from time-to-detection data?

Ecology. 2022 Jul 25:e3832. doi: 10.1002/ecy.3832. Online ahead of print.

ABSTRACT

The time taken to detect a species during site occupancy surveys contains information about the observation process. Accounting for the observation process leads to better inference about site occupancy. We explore the gain in efficiency that can be obtained from time-to-detection data and show that this model type has a significant benefit for estimating the parameters related to detection intensity. However, for estimating occupancy probability parameters, the efficiency improvement is generally very minor. To explore whether time-to-detection data could add valuable information when detection intensities vary between sites and surveys, we developed a mixed exponential time-to-detection occupancy model. This new model can simultaneously estimate the detection intensity and aggregation parameters when the number of detectable individuals at the site follows a negative binomial distribution. We found that this model provided a much better description of the occupancy patterns than conventional detection/non-detection methods among 63 bird species data from the Karoo region of South Africa. Ignoring the heterogeneity of detection intensity in the time-to-detection model generally yielded a negative bias in the estimated occupancy probability. Using simulations, we briefly explore study design trade offs between numbers of sites and surveys for different occupancy modelling strategies.

PMID:35876117 | DOI:10.1002/ecy.3832

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Nevin Manimala Statistics

Is PSA Still the Best Predictor for Biochemical Recurrence after Radical Prostatectomy in High-Risk Prostate Cancer?

J Invest Surg. 2022 Jul 24:1-6. doi: 10.1080/08941939.2022.2101165. Online ahead of print.

ABSTRACT

BACKGROUND: Patients with high-risk prostate cancer (PCa) experience heterogeneous oncological outcomes. In this study, we assessed the patients who underwent an RP procedure because of high-risk prostate cancer in subgroups formed according to D’Amico criteria and analyzed the effects of these criteria on biochemical recurrence (BCR) after RP.

METHODS: We retrospectively identified high-risk non-metastatic PCa patients who underwent RP between 2006 and 2020 in our hospital. Groups were formed as follows: group 1 consisted of those with an ISUP grade 4 – 5 biopsy, group 2 consisted of those with a clinical stage T2c, group 3 consisted of those with a tPSA level ≥ 20 ng/ml, and group 4 consisted of those with locally advanced disease. Survival analyses were made by Kaplan-Meier test and Log Rank test. A P value <0.05 was accepted as statistically significant.

RESULTS: Of all patients, 61.8% were cured by only RP and 38.2% had recurrences. Rates of BCR were significantly different among groups (P = 0.003). In group 1, group 2, group 3, and group 4, BCR rates were 30.8%, 13%, 40.8%, and 70.6%, respectively. Mean BCR-free survival was 82.47 ± 11.64 months. In group 2, BCR-free survival was higher than that in group 3 and group 4 (P1 = 0.020 and P2 = 0.001) and in group 1, BCR-free survival was higher than that in group 4 (P = 0.016). There was no significant difference between group 3 and 4 (P > 0.05).

CONCLUSION: Despite the developments in the imaging technology, an elevated tPSA level remains to be an important predictor for BCR-free survival.

PMID:35876092 | DOI:10.1080/08941939.2022.2101165

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Nevin Manimala Statistics

Influence of firing temperature and duration on the hardness of dental zirconia for optimum selection of sintering conditions

J Appl Biomater Funct Mater. 2022 Jan-Dec;20:22808000221114218. doi: 10.1177/22808000221114218.

ABSTRACT

OBJECTIVE: In order to optimize the properties of dental zirconia, the sintering process involves firing zirconia to elevated temperatures for an extended time that can take several hours. The aim of this study is to investigate the effect of firing temperature and firing duration on the hardness of dental zirconia to indicate the optimum sintering conditions.

METHODS: Thirty-six zirconia specimens in shape of bars were randomly assigned to nine groups. The zirconia specimen groups were sintered using a sintering furnace with different firing temperatures (900°C, 1200°C, and 1800°C) and firing durations (6, 9, and 12 h). A total of 108 hardness measurements were conducted for all specimens (12 hardness readings per group). For each of the specimen groups, micro Vickers hardness test was performed using a load of 1 Kgf (9.807 N) and the Vickers hardness number was computed. Statistical analysis using Kruskal-Wallis test was conducted to examine the significant differences on Vickers hardness number HV among the specimen groups according to the firing parameters with 0.005 p-value used as an indicator.

RESULTS: Results suggest that there is an association between the increase in the hardness number and the increase in firing duration at a given firing temperature. The results also indicate that there is an association between the increase in the hardness number and increase in firing temperature at a given firing duration.

CONCLUSIONS: The greatest rate of hardness increase with time is associated with groups of firing temperature 1200°C. The highest rate of hardness increase with temperature happened during the first 6 h of sintering process. On the other hand, there is no significant increase in the hardness number when increasing the firing temperature beyond 1200°C.

PMID:35876066 | DOI:10.1177/22808000221114218