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Nevin Manimala Statistics

Prior experience modifies acquisition trajectories via response-strategy sampling

Anim Cogn. 2023 Apr 10. doi: 10.1007/s10071-023-01769-y. Online ahead of print.

ABSTRACT

Few studies have considered how signal detection parameters evolve during acquisition periods. We addressed this gap by training mice with differential prior experience in a conditional discrimination, auditory signal detection task. Naïve mice, mice given separate experience with each of the later correct choice options (Correct Choice Response Transfer, CCRT), and mice experienced in conditional discriminations (Conditional Discrimination Transfer, CDT) were trained to detect the presence or absence of a tone in white noise. We analyzed data assuming a two-period model of acquisition: a pre-solution and solution period (Heinemann EG (1983) in The Presolution period and the detection of statistical associations. In: Quantitative analyses of behavior: discrimination processes, vol. 4, pp. 21-36). Ballinger. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.536.1978andrep=rep1andtype=pdf ). The pre-solution period was characterized by a selective sampling of biased response strategies until adoption of a conditional responding strategy in the solution period. Correspondingly, discriminability remained low until the solution period; criterion took excursions reflecting response-strategy sampling. Prior experience affected the length and composition of the pre-solution period. Whereas CCRT and CDT mice had shorter pre-solution periods than naïve mice, CDT and Naïve mice developed substantial criterion biases and acquired asymptotic discriminability faster than CCRT mice. To explain these data, we propose a learning model in which mice selectively sample and test different response-strategies and corresponding task structures until they exit the pre-solution period. Upon exit, mice adopt the conditional responding strategy and task structure, with action values updated via inference and generalization from the other task structures. Simulations of representative mouse data illustrate the viability of this model.

PMID:37036556 | DOI:10.1007/s10071-023-01769-y

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Nevin Manimala Statistics

A Method for In-Vivo Mapping of Axonal Diameter Distributions in the Human Brain Using Diffusion-Based Axonal Spectrum Imaging (AxSI)

Neuroinformatics. 2023 Apr 10. doi: 10.1007/s12021-023-09630-w. Online ahead of print.

ABSTRACT

In this paper we demonstrate a generalized and simplified pipeline called axonal spectrum imaging (AxSI) for in-vivo estimation of axonal characteristics in the human brain. Whole-brain estimation of the axon diameter, in-vivo and non-invasively, across all fiber systems will allow exploring uncharted aspects of brain structure and function relations with emphasis on connectivity and connectome analysis. While axon diameter mapping is important in and of itself, its correlation with conduction velocity will allow, for the first time, the explorations of information transfer mechanisms within the brain. We demonstrate various well-known aspects of axonal morphometry (e.g., the corpus callosum axon diameter variation) as well as other aspects that are less explored (e.g., axon diameter-based separation of the superior longitudinal fasciculus into segments). Moreover, we have created an MNI based mean axon diameter map over the entire brain for a large cohort of subjects providing the reference basis for future studies exploring relation between axon properties, its connectome representation, and other functional and behavioral aspects of the brain.

PMID:37036548 | DOI:10.1007/s12021-023-09630-w

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Nevin Manimala Statistics

The application of the PDCA cycle in the nutritional management of patients with nasopharyngeal carcinoma

Support Care Cancer. 2023 Apr 10;31(5):251. doi: 10.1007/s00520-023-07724-4.

ABSTRACT

OBJECTIVE: This study is to explore the effect of the Plan-Do-Check-Act (PDCA) cycle on the nutritional management of patients with nasopharyngeal carcinoma (NPC).

METHODS: A total of 100 NPC patients were randomly divided into a control group and a PDCA group, with 50 patients in each group. The control group adopted a routine nutritional management strategy, and the PDCA group adopted a PDCA cycle management strategy. The body weight, body mass index (BMI), hemoglobin, serum prealbumin, serum albumin, the Patient-Generated Subjective Global Assessment (PG-SGA) score, the Nutrition Risk Screening 2002 (NRS-2002) score, the incidence rate of nutritional risk, the grade of malnutrition, and the grade of oral mucositis were compared between the two groups.

RESULTS: The body weight, BMI, and serum prealbumin in the PDCA group were higher than those in the control group, and the difference was statistically significant (p < 0.05). The NRS2002 score and PG-SGA score in the PDCA group were lower than those in the control group, and the differences were statistically significant (p < 0.05). The incidence of nutritional risk, the grade of malnutrition, and the grade of oral mucositis were less in the PDCA group than those in the control group (p < 0.05). There was no significant difference in hemoglobin and serum albumin between the two groups (p > 0.05).

CONCLUSION: The PDCA cycle can improve body weight, BMI, and serum prealbumin in NPC patients. It can reduce the NRS2002 score, the PG-SGA score, the incidence of nutritional risk, the severity of malnutrition, and the severity of oral mucositis in NPC patients.

PMID:37036536 | DOI:10.1007/s00520-023-07724-4

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Nevin Manimala Statistics

Association between dietary intake of α-tocopherol and cadmium related osteoporosis in population ≥ 50 years

J Bone Miner Metab. 2023 Apr 10. doi: 10.1007/s00774-023-01418-x. Online ahead of print.

ABSTRACT

INTRODUCTION: To analyze the association between α-tocopherol intake and cadmium (Cd) exposure and osteoporosis in population ≥ 50 years.

MATERIALS AND METHODS: Sociodemographic data, physical examination, and laboratory indicators including serum Cd level and dietary α-tocopherol intake of 8459 participants were extracted from the National Health and Nutrition Examination Survey (NHANES) database in this cross-sectional study. The associations between α-tocopherol intake, serum Cd levels and osteoporosis were evaluated using univariate and multivariate logistic regression analyses, with the estimated value (β), odds ratios (ORs) and 95% confidence intervals (CIs). We further explored the impact of α-tocopherol intake on Cd exposure and the bone mineral density (BMD) in total femur and femur neck.

RESULTS: A total of 543 old adults suffered from osteoporosis. The serum Cd level (0.52 μg/L vs. 0.37 μg/L) and α-tocopherol intake (5.28 mg vs. 6.50 mg) were statistical different in osteoporosis group and non-osteoporosis group, respectively. High level of Cd exposure was related to the increased risk of osteoporosis [OR = 1.60, 95% CI (1.15-2.21)]. In the total femur, α-tocopherol intake may improve the loss of BMD that associated with Cd exposure [β = – 0.047, P = 0.037]. Moreover, high α-tocopherol intake combined with low Cd exposure [OR = 0.54, 95% CI (0.36-0.81)] was linked to the decreased risk of osteoporosis comparing with low α-tocopherol intake combined with high Cd exposure.

CONCLUSION: High α-tocopherol intake may improve the Cd-related osteoporosis and loss of BMD that could provide some dietary reference for prevention of osteoporosis in population ≥ 50 years old.

PMID:37036532 | DOI:10.1007/s00774-023-01418-x

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Nevin Manimala Statistics

Evaluation of the relationship between pain inflammation due to dental caries and growth parameters in preschool children

Clin Oral Investig. 2023 Apr 10. doi: 10.1007/s00784-023-04988-2. Online ahead of print.

ABSTRACT

OBJECTIVES: To evaluate the relationship between pain inflammation due to dental caries and growth parameters, sleep disturbances, and oral health-related quality of life (OHRQoL) in preschool children before/after dental treatment and compare the results with the control group.

MATERIALS AND METHODS: Study (pain inflammation due to caries) and control groups were included in this prospective clinical trial. The Child Sleep Habits Questionnaire (CSHQ) assessing sleep disturbances and the Early Childhood Oral Health Impact Scale (ECOHIS) assessing OHRQoL were applied in the corresponding time intervals to the study and control groups, respectively: baseline (T0study), 7 days after treatment (T1study), and following 6 months (T2study); baseline (T0control), and the following 6 months (T2control). Biochemical growth parameters (insulin-like growth factor-1 and insulin-like growth factor binding protein-3) and anthropometric measurements (standard deviation score of height, weight, and body mass index) were obtained at T0study, T2study, and T0control. Mann-Whitney U and the Student t-tests were used for statistical analyses. The significance level was set at p < 0.05.

RESULTS: Data on 45 children (mean age: 55.6 ± 10.37 months) were analyzed. T2study was statistically higher than T0study for the anthropometric measurements and biochemical growth parameters (p < 0.05). T0study was statistically higher than T0control for biochemical growth parameters (p < 0.05). CSHQ and ECOHIS scores were found statistically significant at T0study than T0control (p < 0.05). Statistical scores of CSHQ and ECOHIS in T2study were significantly reduced compared to T0study (p < 0.05).

CONCLUSION: Children’s growth parameters, sleep disturbances, and OHRQoL improved after the elimination of pain and inflammation.

CLINICAL RELEVANCE: This study’s novelty is the observation of drastically increased growth parameters and reduced sleep disturbances following dental treatment.

PMID:37036512 | DOI:10.1007/s00784-023-04988-2

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Nevin Manimala Statistics

Fundus autofluorescence abnormalities can predict fluorescein angiography abnormalities in patients with chronic central serous chorioretinopathy

Graefes Arch Clin Exp Ophthalmol. 2023 Apr 10. doi: 10.1007/s00417-023-06042-z. Online ahead of print.

ABSTRACT

PURPOSE: This study is to assess the possible correlation between findings on fundus autofluorescence (FAF) and fluorescein angiography (FA) in patients with chronic central serous chorioretinopathy (cCSC).

METHODS: This multicentre retrospective cohort study included 71 cCSC patients (92 eyes) with at least 6 months of follow-up, who had a FAF-FA imaging discrepancy larger than 0.5 optic disc diameters in size in the corresponding areas of hyperfluorescent abnormalities. A comparison was performed between progression in size of areas of hyperautofluorescent retinal pigment epithelium (RPE) abnormalities on FAF (HF-FAF) and the hyperfluorescent areas on FA (HF-FA) at first visit and last visit. The possible correlations were estimated between FAF-FA discrepancy and disease characteristics.

RESULTS: The median area of HF-FAF at first visit was 7.48 mm2 (1.41-27.9). The median area of HF-FA at first visit and last visit was 2.40 mm2 (0.02-17.27) and 5.22 mm2 (0.53-25.62), respectively. FAF-FA discrepancy was associated with follow-up duration and the area of HF-FAF at first visit. A mathematical algorithm for grading FAF-FA discrepancy in time was suggested, which predicted the enlargement of hyperfluorescent RPE abnormalities on FA in 82.6% of cases.

CONCLUSION: There is a statistically significant relationship between the areas of HF-FAF and HF-FA in cCSC patients with FAF-FA imaging discrepancy at first presentation. Long-term changes in RPE alterations in cCSC on FA can be predicted based on baseline HF-FAF and follow-up duration.

PMID:37036511 | DOI:10.1007/s00417-023-06042-z

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Nevin Manimala Statistics

Programa de diabetes: improving diabetes care for undocumented immigrants using the Chronic Care Model at a free community clinic

Acta Diabetol. 2023 Apr 10. doi: 10.1007/s00592-023-02084-1. Online ahead of print.

ABSTRACT

AIMS: This study examined whether the Chronic Care Model can be successfully applied to improve health outcome measures for uninsured, undocumented immigrants with diabetes at a free, non-federally funded community clinic.

METHODS: Data were collected from 128 uninsured, undocumented immigrants enrolled in Programa de diabetes, a comprehensive diabetes program at People’s Health Clinic based on the six core elements of the Chronic Care Model. All study participants self-identified by the Hispanic ethnicity. A longitudinal study design was used to compare baseline diabetic health measures with outcome data after patient program participation over a 12-month enrollment period. Linear mixed effect model was used to determine the patient specific change in HbA1C across time, controlling for gender, age, food insecurity, income level, diabetes type, and literacy. In addition, McNemar tests were conducted to compare the coverage of eye exams and statin use before and after program enrollment.

RESULTS: After program enrollment, individual specific change in HbA1C was expected to be – 0.201 [95% CI 0.244, – 0.158] % per month after controlling for baseline covariates. There were statistically significant improvements in both eye exam coverage (p < 0.01) and statin use (p < 0.01).

CONCLUSIONS: The Chronic Care Model can be successfully applied to improve health outcome measures at a free, non-federally funded community clinic among uninsured, undocumented immigrants, who identify by the Hispanic ethnicity and have the diagnosis of diabetes. Barriers to care including food insecurity, federal poverty level and illiteracy do not preclude glycemic control.

PMID:37036509 | DOI:10.1007/s00592-023-02084-1

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Nevin Manimala Statistics

Influence of Light Color on Power Generation and Microalgae Growth in Photosynthetic Microbial Fuel Cell with Chlorella Vulgaris Microalgae as Bio-Cathode

Curr Microbiol. 2023 Apr 10;80(5):177. doi: 10.1007/s00284-023-03292-2.

ABSTRACT

Photosynthetic microbial fuel cell (PMFC) is an environmentally friendly sustainable technique for simultaneous wastewater treatment and power recovery. PMFC utilizes the microalgae to generate oxygen by photosynthesis process in the biocathode. Light sources and intensities have direct effect on chlorophyll pigment formation, photosynthesis processes and microalgae growth. In this study, Chlorella vulgaris was utilized as biocathode in PMFC fed with actual slaughterhouse wastewater. The biocathode was illuminated with florescent light as well as yellow, red and blue LED lights with light intensities of 67.46, 47.03, 26.18 and 4.70 µmol/m.s, respectively. Power output and microalgae growth were considered in evaluating the PMFC performance. Results demonstrated that the highest power output was 217.04 mW/m2 generated under florescent light compared to 28.41, 171.08, and 21.65 mW/m2 observed under yellow, red and blue LEDs, respectively. Additionally, statistical analysis was performed using fifth-degree polynomial model which fitted well the experimental data with a determination coefficient (R2) > 0.97. The results reflected a high confidence level in depicting the growth mechanism of Chlorella vulgaris under lighting sources with different light colors and intensities.

PMID:37036508 | DOI:10.1007/s00284-023-03292-2

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Nevin Manimala Statistics

No clinical consequence of liner malseating in dual-mobility THAs at short term: a systematic review

Arch Orthop Trauma Surg. 2023 Apr 10. doi: 10.1007/s00402-023-04855-5. Online ahead of print.

ABSTRACT

BACKGROUND: Liner malseating is well described in ceramic-on-ceramic total hip arthroplasties (THAs). However, limited information is known on this complication among dual-mobility articulations. As such, this systematic review analyzed liner malseating in dual-mobility THAs concerning prevalence, clinical implications, and associated risk factors.

METHODS: A PRISMA criteria-based systematic review was performed, and PubMed, Web of Science, MEDLINE, and Cochrane used as data bases. All original studies from 1980 to 2022 were considered eligible for inclusion, and Methodological Index for Nonrandomized Studies (MINORS) used for quality assessment.

RESULTS: In total, five retrospective cohort studies with 2330 patients (2673 dual-mobility THAs) were included. Mean age was 66.9 years, mean BMI was 29.8 kg/m2, and 35% of patients were female. Rates of malseating ranged from 0.15% to 5.8%, with a total of 53 malseated liners identified throughout all studies (1.98%). Based on THA manufacturer, malseating occurred in 48 Stryker (1.96%) and 5 Biomet Zimmer (2.14%) THAs. Mean clinical follow-up was 2.2 years (mean range, 1.3 to 6.4 years). Except one patient reporting of pain at 2 years, no revision or negative clinical implication was noted in any of the malseated liners, including normal ranged metal ions measured in four cases. A smaller acetabular component size was identified as a statistically significant risk factor for malseating in one study. Mean MINORS score was 9.8.

CONCLUSIONS: Liner malseating is a rare finding in patients undergoing THAs with dual-mobility articulations. While prelim results demonstrate no negative clinical consequences to date, existing studies are limited, refer to short-term outcomes only, and do not prospectively follow-up affected patients.

LEVEL OF EVIDENCE: IV.

PMID:37036501 | DOI:10.1007/s00402-023-04855-5

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Nevin Manimala Statistics

Prognosis of hip osteonecrosis after cell therapy with a calculator and artificial intelligence: ten year collapse-free survival prediction on three thousand and twenty one hips

Int Orthop. 2023 Apr 10. doi: 10.1007/s00264-023-05788-9. Online ahead of print.

ABSTRACT

PURPOSE: Several reports have identified prognostic factors for hip osteonecrosis treated with cell therapy, but no study investigated the accuracy of artificial intelligence method such as machine learning and artificial neural network (ANN) to predict the efficiency of the treatment. We determined the benefit of cell therapy compared with core decompression or natural evolution, and developed machine-learning algorithms for predicting ten year collapse-free survival in hip osteonecrosis treated with cell therapy. Using the best algorithm, we propose a calculator for “prognosis hip osteonecrosis cell therapy (PHOCT)” accessible for clinical use.

METHODS: A total of 3145 patients with 5261 osteonecroses without collapses were included in this study, comprising 1321 (42%) men and 1824 (58%) women, with a median age of 34 (12-62) years. Cell therapy was the treatment for 3021 hips, core decompression alone for 1374 hips, while absence of treatment was the control group of 764 hips. First, logistic regression and binary logistic regression analysis were performed to compare results of the three groups at ten years. Then an artificial neural network model was developed for ten year collapse-free survival after cell therapy. The models’ performances were compared. The algorithms were assessed by calibration, and performance, and with c-statistic as measure of discrimination. It ranges from 0.5 to 1.0, with 1.0 being perfect discrimination and 0.5 poor (no better than chance at making a prediction).

RESULTS: Among the 3021 hips with cell therapy, 1964 hips (65%) were collapse-free survival at ten years, versus 453 (33%) among those 1374 treated with core decompression alone, and versus 115 (15%) among 764 hips with natural evolution. We analyzed factors influencing the prediction of collapse-free period with classical statistics and artificial intelligence among hips with cell therapy. After selecting variables, a machine learning algorithm created a prognosis osteonecrosis cell therapy calculator (POCT). This calculator proved to have good accuracy on validation in these series of 3021 hip osteonecroses treated with cell therapy. The algorithm had a c-statistic of 0.871 suggesting good-to-excellent discrimination when all the osteonecroses were mixed. The c-statistics were calculated separately for subpopulations of categorical osteonecroses. It retained good accuracy, but underestimated ten year survival in some subgroups, suggesting that specific calculators could be useful for some subgroups. This study highlights the importance of multimodal evaluation of patient parameters and shows the degree to which the outcome is modified by some decisions that are within a surgeon’s control, as the number of cells to aspirate, the choice of injecting in both the osteonecrosis and the healthy bone, the choice between unilateral or bilateral injection, and the possibility to do a repeat injection.

CONCLUSION: Many disease conditions and the heterogeneities of patients are causes of variation of outcome after cell therapy for osteonecrosis. Predicting therapeutic effectiveness with a calculator allows a good discrimination to target patients who are most likely to benefit from this intervention.

PMID:37036496 | DOI:10.1007/s00264-023-05788-9