Tag: nevin manimala

BMC Geriatr. 2023 Sep 19;23(1):575. doi: 10.1186/s12877-023-04275-5.

ABSTRACT

BACKGROUND: The assessment of a wide range of cognitive functions using video teleconference (VTC) systems cannot be applied in practice yet. We aimed to determine the feasibility and reliability of previously unvalidated remote cognitive function tests in Japan using common information and communication technology (ICT) devices, software, and VTC systems compared with face-to-face (FTF) assessment.

METHODS: The sample consisted of 26 participants from senior citizens clubs and an employment service centre in Sapporo Japan, including 11 females and 15 males (age averaged 78.6 ± 6.8 years). Tests included the RCPM, Story recall, 10/36 spatial recall, selective reminding test, SDMT, PASAT, FAB, TMT-A, TMT-B, visual cancellation task, digit span, tapping span. The experimental design was a counterbalanced crossover randomised controlled trial. Intraclass correlations (ICCs), paired-samples t-tests, Cohen’s Kappa (κ) coefficients, and Wilcoxon signed-rank test were calculated to compare the scores between VTC and FTF assessments.

RESULTS: All ICCs were significant and ranged from 0.47 (RCPM time) to 0.92 (RCPM score and PASAT), with a mean ICC of 0.75. Digit span using Cohen’s Kappa (κ) coefficient was significant, but the tapping span was not. Paired samples t-test showed statistically significant differences in SDMT, RCPM time, and cancellation time.

CONCLUSIONS: The results suggest that remote video conference-based neuropsychological tests even using familiar devices and software may be able to assess a wide range of cognitive functions in the Japanese older population. As for the processing speed tasks, we need to create our own standards for the remote condition. For the tapping span, we should consider increasing the number of trials.

PMID:37723429 | DOI:10.1186/s12877-023-04275-5

BMC Neurol. 2023 Sep 18;23(1):330. doi: 10.1186/s12883-023-03373-6.

ABSTRACT

BACKGROUND: Visual dysfunction have been well reported as one of the non-motor symptoms in Parkinson’s disease (PD). The aim of this study was to evaluate the functional and structural changes in the retina in patients with PD, and to correlate these changes with disease duration and motor dysfunction.

METHODS: For this case-control study, we recruited patients fulfilling the diagnostic criteria for idiopathic PD according to British Brain Bank criteria, aged between 50 and 80 years. Age- and sex-matched healthy controls aged between 50 and 80 years were also recruited. Motor function for PD patients was assessed using Modified Hoehn and Yahr staging scale (H & Y staging) and Unified Parkinson’s Disease Rating Scale (UPDRS). Optical Coherence Tomography (OCT) and full field electroretinogram (ff-ERG) were done to all participants.

RESULTS: Data from 50 patients and 50 healthy controls were included in the analysis. Patients with idiopathic Parkinson’s had significantly reduced peripapillary retinal nerve fiber layer (RNFL) thickness and macular ganglion cell complex (GCC) thickness compared to healthy controls (P-value < 0.05 in all parameters). They also had significantly delayed latency and reduced amplitude in both dark-adapted rods and the light-adapted cone for both a & b waves compared to healthy controls (P-value < 0.001 in all parameters). There were statistically significant negative correlations between disease duration, and left superior, right inferior and right & left average RNFL thickness [(r) coef. = -0.327, -0.301, -0.275, and -0.285 respectively]. UPDRS total score was negatively correlated with the amplitude of light-adapted of both RT and LT a & b wave and with dark-adapted RT b-wave latency [(r) coef. = -0.311, -0.395, -0.362, -0.419, and -0.342].

CONCLUSION: The retinal structure and function were significantly affected in patients with PD in comparison to healthy controls. There was a significant impact of disease duration on retinal thickness, and there was a significant negative correlation between the degree of motor dysfunction in patients with PD and retinal function.

PMID:37723424 | DOI:10.1186/s12883-023-03373-6

BMC Med Imaging. 2023 Sep 18;23(1):135. doi: 10.1186/s12880-023-01090-7.

ABSTRACT

BACKGROUND: Whether there is axillary lymph node metastasis is crucial for formulating the treatment plan for breast cancer. Currently, invasive methods are still used for preoperative evaluation of lymph nodes. If non-invasive preoperative evaluation can be achieved, it will effectively improve the treatment plan.

OBJECTIVE: Constructed a predict model based on ultrasound examination, which forest axillary lymph node metastasis in breast cancer, and validated this model.

METHOD: Patients admitted to Xiamen First Hospital from April 2018 to August 2021 with complete case data were included in this study. Patients who had undergone breast cancer resection and axillary lymph node dissection or sentinel lymph node biopsy were divided into a training and validation cohort in a 7:3 ratio. In the training cohort, patients were divided into metastatic and non-metastatic groups based on whether axillary lymph nodes had metastasis. The parameters of the two groups were compared, and statistically significant parameters were included in multivariate analysis. Then, a Nomogram model was constructed, named Lymph metastasis predict model (LMPM). Calibration curves, receiver operating curve (ROC), and decision curve analysis (DCA) were plotted between the training and validation cohort, calculate the risk score of each patient, identify the optimal cutoff value, and test the predictive efficacy of LMPM.

RESULT: Two hundred seventy-three patients were enrolled in final study, the average age 49.7 ± 8.7, training cohort included 191 patients, the diameter of breast cancer, the lymph node peak systolic flow velocity (LNPS) and the cortex area hilum ratio (CH) of lymph node were exist significant difference in metastatic and non-metastatic group. Multivariate analysis showed cancer diameter, LNPS and CH included in LMPM, the cutoff value was 95, the calibration curve, ROC, DCA in training and validation cohort show satisfactory result.

CONCLUSION: The predict model-LMPM, can predict axillary lymph node metastasis in breast cancer, which is useful for developing personalized treatment plans. However, further validation of the model is required by incorporating a larger number of patients.

PMID:37723421 | DOI:10.1186/s12880-023-01090-7

Comput Biol Med. 2023 Sep 6;165:107468. doi: 10.1016/j.compbiomed.2023.107468. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine the presence and potential utility of independent high-frequency activity recorded from scalp electrodes in the electroencephalogram (EEG) of newborns.

METHODS: We compare interburst intervals and continuous activity at different frequencies for EEGs retrospectively recorded at 256 Hz from 4 newborn groups: 1) 36 preterms (<32 weeks’ gestational age, GA); 2) 12 preterms (32-37 weeks’ GA); 3) 91 healthy full terms; 4) 15 full terms with hypoxic-ischemic encephalopathy (HIE). At 4 standard frequency bands (delta, 0.5-3 Hz; theta, 3-8 Hz; alpha, 8-15 Hz; beta, 15-30 Hz) and 3 higher-frequency bands (gamma1, 30-48 Hz; gamma2, 52-99 Hz; gamma3, 107-127 Hz), we compared power spectral densities (PSDs), quantitative features, and machine learning model performance. Feature selection and further machine learning methods were performed on one cohort.

RESULTS: We found significant (P < 0.01) differences in PSDs, quantitative analysis, and machine learning modelling at the higher-frequency bands. Machine learning models using only high-frequency features performed best in preterm groups 1 and 2 with a median (95% confidence interval, CI) Matthews correlation coefficient (MCC) of 0.71 (0.12-0.88) and 0.66 (0.36-0.76) respectively. Interburst interval-detector models using both high- and standard-bandwidths produced the highest median MCCs in all four groups. High-frequency features were largely independent of standard-bandwidth features, with only 11/84 (13.1%) of correlations statistically significant. Feature selection methods produced 7 to 9 high-frequency features in the top 20 feature set.

CONCLUSIONS: This is the first study to identify independent high-frequency activity in newborn EEG using in-depth quantitative analysis. Expanding the EEG bandwidths of analysis has the potential to improve both quantitative and machine-learning analysis, particularly in preterm EEG.

PMID:37722158 | DOI:10.1016/j.compbiomed.2023.107468

Comput Biol Med. 2023 Aug 30;165:107422. doi: 10.1016/j.compbiomed.2023.107422. Online ahead of print.

ABSTRACT

Notes documented by clinicians, such as patient histories, hospital courses, lab reports and others are often annotated with standardized clinical codes by medical coders to facilitate a variety of secondary processing applications such as billing and statistical analyses. Clinical coding, traditionally manual and labor-intensive, has seen a surge in research interest by deep learning researchers pursuing to automate it. However, deep learning methods require large volumes of annotated clinical data for training and offer little to explain why codes were assigned to pieces of text. In this paper, we propose an unsupervised method which does not need annotated clinical text and is fully interpretable, by using Named Entity and Attribute Recognition and word embeddings specialized for the clinical domain. These methods successfully glean important information from large volumes of clinical notes and encode them effectively in order to perform automatic clinical coding.

PMID:37722157 | DOI:10.1016/j.compbiomed.2023.107422

Leg Med (Tokyo). 2023 Sep 14;65:102322. doi: 10.1016/j.legalmed.2023.102322. Online ahead of print.

ABSTRACT

The degree of sexual dimorphism expressed by human bones is of primary importance for the development of accurate methods for sex estimation. The objective of the present study was to investigate sex differences in shape and size of the mandible using geometric morphometric methods. The study also aimed to examine the impact of age on the sex classification ability of the size and shape of the mandible. Computed tomography images of 190 Bulgarians (98 males and 92 females) were used in the study. Polygonal surface models of the skulls were generated and used for digitizing 45 landmarks located on the mandible. The raw three-dimensional coordinates of the landmarks were processed via generalized Procrustes superimposition. The sex differences in mandibular size and shape were evaluated for statistical significance. Multivariate regression was applied for correction of the allometric effect. Principal component analysis, discriminant analysis, and canonical variate analysis were also used in the study. Mandibular size differed significantly between males and females and achieved a sex classification accuracy of 87%. The significance of the sex differences in mandibular shape depended on the type of shape variables used in the analysis. The shape variables provided different classification accuracy: 78% using the Procrustes coordinates and 53% using the regression residuals. The male and female mandibles differed significantly in size and shape, including the allometric component. Mandibular size is a more effective sex indicator than shape. Age has an ambiguous effect on the classification accuracy of the size and shape variables of the mandible.

PMID:37722156 | DOI:10.1016/j.legalmed.2023.102322

Econ Hum Biol. 2023 Sep 9;51:101305. doi: 10.1016/j.ehb.2023.101305. Online ahead of print.

ABSTRACT

This study analyzes the weather-related health damage of present and future extreme temperatures in Argentina. Focusing on mortality, short-term impacts of temperature are obtained by regressing monthly mortality rates on inter-annual monthly weather variability. For this purpose, a countrywide panel dataset at the municipal level was constructed from the universe of deaths between 2010 and 2019, and daily meteorological records from the ERA5 weather dataset. Then, NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) are used to project future mortality by 2085 under two climate scenarios. Finally, present and future mortality-related economic damages are assessed using the Value of a Statistical Life. The results show that one additional day of extreme temperatures increase all-cause mortality rates relative to mild weather and that the impact of hotter-than-average temperatures is greater in magnitude than that of colder ones. Substantial heterogeneity exists between causes of death and age groups, with older people facing greater risks, while the results for gender are inconclusive. All days of extreme cold in a year generate damage equivalent to 0.64% of GDP, while heat damage is 0.11% of GDP. The total damage by extreme temperatures adds up to 0.75% of the 2019 GDP. When future temperatures are valued, the total damage increases by an additional 1.45% under scenario RCP8.5 because the lower mortality occurring on cold days only partially offsets the increase in the number of hot days. On the contrary, if temperature changes were to be mild (i.e., under scenario RCP4.5), overall mortality would be lower at the national level and the corresponding damages would decrease by 0.02%.

PMID:37722142 | DOI:10.1016/j.ehb.2023.101305

Int J Dent Hyg. 2023 Sep 18. doi: 10.1111/idh.12757. Online ahead of print.

ABSTRACT

PURPOSE: Dental hygiene faculty members must be able to provide evidence of skill calibration for clinical evaluation of students. The purpose of this study was to evaluate the effectiveness of online instructional videos as compared to in-person sessions for faculty calibration.

METHODS: A randomised crossover pretest/posttest research design was used to evaluate online and in-person faculty calibration activities. Fifteen faculty members from a baccalaureate dental hygiene programme were randomly assigned to an AB or BA sequence for calibration sessions on two different instruments. Following a 2-week washout period, the groups switched activity modalities. A pretest, posttest and retention test, administered 10 weeks following the activity, were administered to determine learning levels and the new and retained knowledge. A 7-point Likert scale questionnaire evaluated the reaction to and impact of the calibration activities. Descriptive statistics analysed demographic and Likert scale data. Paired samples t-tests were used to analyse the research questions (p ≤ 0.05).

RESULTS: Online calibration activities yielded higher posttest scores than in-person activities (p = 0.01). Findings related to feelings of confidence revealed that a greater percentage of participants agreed that online calibration activities increased their ability to evaluate student performance. Findings related to feelings of preparedness supported equal percentages of participants who agreed the online and in-person activities increased their ability to teach dental hygiene instrumentation. There was no significant difference between in-person and online retention test scores (p = 0.235).

CONCLUSION: Faculty members agreed that both online and in-person calibration activities were an effective use of their time and contributed to greater feelings of confidence and preparedness. However, the online calibration activities seemed to be more effective at increasing calibration on instrumentation. More research is needed to determine additional effective strategies for the online calibration of clinical faculty.

PMID:37722067 | DOI:10.1111/idh.12757

Biomacromolecules. 2023 Sep 18. doi: 10.1021/acs.biomac.3c00348. Online ahead of print.

ABSTRACT

An injectable and self-adaptive heparin microsphere-based cell scaffold was developed to achieve adipose regeneration. Simultaneously, the cell scaffold exhibited a dynamic architecture, self-regulated glucose levels, sustained insulin delivery, and steady viscoelastic properties for adipogenesis. The dynamic cell scaffold is cross-linked by the boronate-diol interaction among heparin-based microspheres, which have boronate and maltose groups. Because of the boronate-maltose ester bonds, the gelatinous complex would be partially dismantled and readily display glucose-sensitive performance by free glucose via competitive displacement. The dynamic cross-linking heparin microsphere scaffold can deliver the lipogenic drug insulin to enhance lipid filling, which has an impact on fat tissue enhancement. A 4-week in vitro cell culture demonstrated that the dynamic heparin microsphere-based cell scaffold, through loading with insulin, showed significantly higher efficiency in promoting ASC differentiation compared with traditional 3D culture methods. In vivo histological results further demonstrated that there was a significant increase in adipose in the proposed cell scaffold, which proved to be statistically significant compared with traditional biomaterials. Notable stain expression of the FABP4 and PPAR-γ genes was also observed in the dynamic cell scaffold containing insulin, which was more similar to natural fat.

PMID:37722066 | DOI:10.1021/acs.biomac.3c00348

Foodborne Pathog Dis. 2023 Sep 19. doi: 10.1089/fpd.2023.0050. Online ahead of print.

ABSTRACT

Milk is an important source of food, and it is also a nutrient-rich medium, which can harbor multiple microorganisms. Staphylococcus aureus is an important foodborne pathogen in food-producing animals, and there have been many reports on its infection and antimicrobial resistance (AMR), which has significant global public health concerns. This study was designed to isolate, characterize, and analyze the AMR pattern of S. aureus from milk samples collected in Chennai, India. A total of 259 raw milk samples from 3 groups: dairy farms, local vendors, and retail outlets were analyzed, and it was found that 34% (89/259) were positive for S. aureus. Positive isolates were further characterized by pulsed-field gel electrophoresis and isolates recovered from different sources, study areas, and locations showed high genetic diversity with no similarity. The presence of AMR has been further assessed by phenotypic methods as per CLSI-M100 performance standards, and all the isolates were susceptible to ampicillin/sulbactam, mupirocin, and tylosin. Additionally, all of the isolates were resistant to ampicillin. There were 28 isolates categorized as multidrug-resistant, which showed resistance to more than 2-3 classes of antimicrobials. This is the first report of inducible clindamycin resistance and mupirocin sensitivity pattern from S. aureus isolates recovered from milk. This study established the occurrence varied with genetic diversity in the isolates prevalent in the study area and divergence pattern of AMR S. aureus. The AMR in these isolates and with methicillin-resistant S. aureus could pose a serious threat to food safety and economic implications.

PMID:37722022 | DOI:10.1089/fpd.2023.0050