Tag: nevin manimala

Orthod Craniofac Res. 2024 Apr 26. doi: 10.1111/ocr.12799. Online ahead of print.

ABSTRACT

OBJECTIVES: This study evaluated the segmentation accuracy and reliability of free software packages and compared them with commercial alternatives.

MATERIAL AND METHODS: A total of 36 stone models were scanned using a desktop scanner and then imaged by cone beam computed tomography (CBCT). The CBCT volumes were segmented using 2 free software packages (3D Slicer and Blue Sky Plan) and 2 commercial software packages (Mimics and OnDemand3D). Stereolithography (STL) files generated by the desktop scanner were used as the control group (reference models). The accuracy of segmentation was evaluated by (1) comparing 6 linear measurements taken from each STL model generated by the 4 software packages with that obtained by the scanner, and (2) deviation analysis of each STL model generated by the 4 software packages with that obtained by the scanner. Absolute error and percentage error, repeated measures anova and Friedman test followed by post hoc analysis, intraclass correlation coefficient (ICC), and Pearson’s r were used to evaluate the accuracy of the tested software packages.

RESULTS: There was no statistically significant difference in all intra-arch measurements obtained using the four software packages. Measurements obtained using the free software packages and the scanner showed excellent positive correlation, ranging from 0.825 to 0.988, confirming equivalence with commercial software packages.

CONCLUSION: Within the settings of the current study, accurate and time-saving segmentations with high positive correlation could be performed using the tested free segmentation software packages (3D Slicer and Blue Sky Plan). Nevertheless, further evaluation is necessary to gage their accuracy using different CBCT modalities.

PMID:38666318 | DOI:10.1111/ocr.12799

Am Surg. 2024 Apr 26:31348241248801. doi: 10.1177/00031348241248801. Online ahead of print.

ABSTRACT

INTRODUCTION: Artificial intelligence continues to play an increasingly important role in modern health care. ChatGPT-3.5 (OpenAI, San Francisco, CA) has gained attention for its potential impact in this domain.

OBJECTIVE: To explore the role of ChatGPT-3.5 in guiding clinical decision-making specifically in the context of pancreatic adenocarcinoma and to assess its growth over a period of time.

PARTICIPANTS: We reviewed the National Comprehensive Cancer Network® (NCCN) Clinical Practice Guidelines for the Management of Pancreatic Adenocarcinoma and formulated a complex clinical question for each decision-making page. ChatGPT-3.5 was queried in a reproducible fashion. We scored answers on the following Likert scale: 5) Correct; 4) Correct, with missing information requiring clarification; 3) Correct, but unable to complete answer; 2) Partially incorrect; 1) Absolutely incorrect. We repeated this protocol at 3-months. Score frequencies were compared, and subgroup analysis was conducted on Correctness (defined as scores 1-2 vs 3-5) and Accuracy (scores 1-3 vs 4-5).

RESULTS: In total, 50-pages of the NCCN Guidelines® were analyzed, generating 50 complex clinical questions. On subgroup analysis, the percentage of Acceptable answers improved from 60% to 76%. The score improvement was statistically significant (Mann-Whitney U-test; Mean Rank = 44.52 vs 56.48, P = .027).

CONCLUSION: ChatGPT-3.5 represents an interesting but limited tool for assistance in clinical decision-making. We demonstrate that the platform evolved, and its responses to our standardized questions improved over a relatively short period (3-months). Future research is needed to determine the validity of this tool for this clinical application.

PMID:38666297 | DOI:10.1177/00031348241248801

Expert Opin Drug Saf. 2024 Apr 26. doi: 10.1080/14740338.2024.2348568. Online ahead of print.

ABSTRACT

BACKGROUND: Recently, there have been some reports of seizures related with COVID-19 vaccinations. However, no studies have systematically investigated the relationship between seizures and various COVID-19 vaccines.

RESEARCH DESIGN AND METHODS: This research aimed to analyze the characteristics and risk signals of new-onset seizures in children caused by various COVID-19 vaccines based on the data of the Vaccine Adverse Event Reporting System (VAERS). To identify potential risk signals, a disproportionality analysis was conducted. The reporting odds ratio (ROR) and the Proportional Reporting Ratio (PRR) were used to detect signals.

RESULTS: A total of 695 children with new-onset seizures events associated with COVID-19 vaccinations were retrieved from the VAERS database. Compared with influenza vaccinations, the percentage and rate of COVID-19 vaccinations related seizures was all reduced. The median onset time of seizures was 1 day after COVID-19 vaccines. No signal was detected for an association between the COVID-19 vaccines and new-onset seizures, neither when compared with influenza vaccines nor with non-COVID-19 vaccines.

CONCLUSION: No statistically significant risk signal of COVID-19 vaccine-related seizures was found in this study. However, it is still necessary to monitor the possibility of new-onset seizures when children are immunized with COVID-19 vaccines.

PMID:38666296 | DOI:10.1080/14740338.2024.2348568

Proc AAAI Conf Artif Intell. 2024 Mar 25;38(21):22906-22912. doi: 10.1609/aaai.v38i21.30328. Epub 2024 Mar 24.

ABSTRACT

Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these interventions can be effective, real-world experimental testing can further enhance their design and impact. Adaptive experimentation, utilizing algorithms like Thompson Sampling for (contextual) multi-armed bandit (MAB) problems, can lead to continuous improvement and personalization. However, it remains unclear when these algorithms can simultaneously increase user experience rewards and facilitate appropriate data collection for social-behavioral scientists to analyze with sufficient statistical confidence. Although a growing body of research addresses the practical and statistical aspects of MAB and other adaptive algorithms, further exploration is needed to assess their impact across diverse real-world contexts. This paper presents a software system developed over two years that allows text-messaging intervention components to be adapted using bandit and other algorithms while collecting data for side-by-side comparison with traditional uniform random non-adaptive experiments. We evaluate the system by deploying a text-message-based DMH intervention to 1100 users, recruited through a large mental health non-profit organization, and share the path forward for deploying this system at scale. This system not only enables applications in mental health but could also serve as a model testbed for adaptive experimentation algorithms in other domains.

PMID:38666291 | PMC:PMC11044947 | DOI:10.1609/aaai.v38i21.30328

Neurohospitalist. 2024 Apr;14(2):166-169. doi: 10.1177/19418744231212999. Epub 2023 Nov 2.

ABSTRACT

Recent small subcortical infarcts (SSI) are a common radiographic predecessor to lacunar stroke. SSI is comprised of several pathophysiologic processes such as branch atherosclerotic disease (BAD) and lipohyalinosis, both of which have differing outcomes and natural history. Presently, there is not a proven method to determine whether a SSI is due to BAD or lipohyalinosis in non-stenotic vessels. However, high-resolution vessel wall imaging (HRVWI) has been reported in East Asian cohorts. We aimed to use HRVWI to identify individuals with BAD-related SSI in a North American cohort. We performed a cross-sectional study from the Rhode Island Hospital. All patients had a SSI as defined by consensus criteria. The presence of vessel wall enhancement of parent vessels were reviewed by two authors. Standard descriptive statistical techniques were used. Of 28 patients who underwent HRVWI, 7 met criteria for SSI. The median age was 68 years and 3 were female. Parent vessel wall enhancement was present in 2 patients. In our North American cohort, HRVWI was able to dichotomize individuals based on parent vessel wall enhancement suggestive of a BAD-related SSI. Further studies are needed to expand our cohort size and confirm our findings.

PMID:38666286 | PMC:PMC11040610 | DOI:10.1177/19418744231212999

J Orthop Surg Res. 2024 Apr 25;19(1):264. doi: 10.1186/s13018-024-04746-4.

ABSTRACT

OBJECTIVE: This study aimed to evaluate the influence of herniation of cartilaginous endplates on postoperative pain and functional recovery in patients undergoing percutaneous endoscopic lumbar discectomy (PELD) for lumbar disc herniation (LDH).

METHODS: A retrospective analysis was conducted on 126 patients with LDH treated with PELD at the Third Hospital of Hebei Medical University from January 2021 to January 2022. Whether cartilaginous endplates had herniated was identified by analyzing these specific findings from MRI scans: posterior marginal nodes, posterior osteophytes, mid endplate irregularities, heterogeneous low signal intensity of extruded material, and Modic changes in posterior corners and mid endplates. Patients were assessed for postoperative pain using the Visual Analogue Scale (VAS) and functional recovery using the Oswestry Disability Index (ODI) and Modified MacNab criteria. Statistical analyses compared outcomes based on the presence of herniation of cartilaginous endplates.

RESULTS: Patients with herniation of cartilaginous endplates experienced higher pain scores early postoperatively but showed significant improvement in pain and functional status over the long term. The back pain VAS scores showed significant differences between the groups with and without herniation of cartilaginous endplates on postoperative day 1 and 1 month (P < 0.05). Leg pain VAS scores showed significant differences on postoperative day 1 (P < 0.05). Modic changes were significantly associated with variations in postoperative recovery, highlighting their importance in predicting patient outcomes. In patients with herniation of cartilaginous endplates, there were statistically significant differences in the back pain VAS scores at 1 month postoperatively and the ODI functional scores on postoperative day 1 between the groups with and without Modic changes (P < 0.05). There were no significant differences in the surgical outcomes between patients with and without these conditions regarding the Modified MacNab criteria (P > 0.05).

CONCLUSION: Herniation of cartilaginous endplates significantly affect early postoperative pain and functional recovery in LDH patients undergoing PELD. These findings emphasize the need for clinical consideration of these imaging features in the preoperative planning and postoperative management to enhance patient outcomes and satisfaction.

PMID:38664852 | DOI:10.1186/s13018-024-04746-4

Alzheimers Res Ther. 2024 Apr 25;16(1):91. doi: 10.1186/s13195-024-01460-5.

ABSTRACT

BACKGROUND: Given the rising awareness of health-related lifestyle modifications, the impact of changes in body weight (BW) on cognitive function and dementia generates significant concern. This study aimed to investigate the association between BW changes and dementia in a middle-aged Korean population.

METHODS: A retrospective, population-based longitudinal study was conducted utilizing data from the National Health Insurance Service (NHIS) database. Participants aged 40 years or older in 2011 who underwent at least five health checkups between 2002 and 2011 were followed-up for dementia until 2020. A total of 3,635,988 dementia-free Korean aged < 65 at baseline were examined. We analyzed the association between BW variability independent of the mean (VIM) with BW cycle, defined as either an upward or a downward direction of BW, and the risk of incident dementia.

RESULTS: The results showed an increased risk of dementia in the highest quartile of VIM quartile (hazard ratio [HR] 1.52, 95% confidence interval [CI] 1.47-1.58) compared to the lowest quartile of VIM. Additionally, the results showed an even higher increased risk of dementia in the highest BW cycle (≥ 2 cycles of 10% BW = HR 2.00, 95% CI 1.74-1.29). Notably, the combined concept of VIM with BW cycle showed an even higher dementia risk (highest quartile of VIM with ≥ 2 cycles of 10% BW = HR 2.37, 95% CI 2.05-2.74) compared to the baseline group (lowest quartile of VIM with < 3% BW cycle).

CONCLUSIONS: The present study highlights the importance of considering BW changes with BW variability along with the BW cycle to assess dementia risk in detail, providing valuable insights for preventive strategies.

PMID:38664832 | DOI:10.1186/s13195-024-01460-5

World J Surg Oncol. 2024 Apr 25;22(1):111. doi: 10.1186/s12957-024-03389-3.

ABSTRACT

BACKGROUND: The objective of this study is to develop and validate a machine learning (ML) prediction model for the assessment of laparoscopic total mesorectal excision (LaTME) surgery difficulty, as well as to identify independent risk factors that influence surgical difficulty. Establishing a nomogram aims to assist clinical practitioners in formulating more effective surgical plans before the procedure.

METHODS: This study included 186 patients with rectal cancer who underwent LaTME from January 2018 to December 2020. They were divided into a training cohort (n = 131) versus a validation cohort (n = 55). The difficulty of LaTME was defined based on Escal’s et al. scoring criteria with modifications. We utilized Lasso regression to screen the preoperative clinical characteristic variables and intraoperative information most relevant to surgical difficulty for the development and validation of four ML models: logistic regression (LR), support vector machine (SVM), random forest (RF), and decision tree (DT). The performance of the model was assessed based on the area under the receiver operating characteristic curve(AUC), sensitivity, specificity, and accuracy. Logistic regression-based column-line plots were created to visualize the predictive model. Consistency statistics (C-statistic) and calibration curves were used to discriminate and calibrate the nomogram, respectively.

RESULTS: In the validation cohort, all four ML models demonstrate good performance: SVM AUC = 0.987, RF AUC = 0.953, LR AUC = 0.950, and DT AUC = 0.904. To enhance visual evaluation, a logistic regression-based nomogram has been established. Predictive factors included in the nomogram are body mass index (BMI), distance between the tumor to the dentate line ≤ 10 cm, radiodensity of visceral adipose tissue (VAT), area of subcutaneous adipose tissue (SAT), tumor diameter >3 cm, and comorbid hypertension.

CONCLUSION: In this study, four ML models based on intraoperative and preoperative risk factors and a nomogram based on logistic regression may be of help to surgeons in evaluating the surgical difficulty before operation and adopting appropriate responses and surgical protocols.

PMID:38664824 | DOI:10.1186/s12957-024-03389-3

Diabetol Metab Syndr. 2024 Apr 25;16(1):94. doi: 10.1186/s13098-024-01318-8.

ABSTRACT

BACKGROUND: The SARS-CoV-2 pandemic brought a radical shift in the healthcare system and suboptimal care for vulnerable patients, such as those with Type 2 Diabetes Mellitus (T2D). Therefore, we compared metabolic control and macro/microvascular complications of patients with T2D before and throughout the three-year SARS-CoV-2 pandemic.

RESEARCH DESIGN AND METHODS: A retrospective observational cohort of subjects with T2D studied from 2018 to 2022 in Northern Mexico was treated by a dynamic multidisciplinary team. Levels of Glycated hemoglobin (HbA1c), fasting serum glucose (FG), LDL-Cholesterol (LDL-C), blood pressure (BP), albuminuria, triglycerides, Body Mass Index (BMI), and FIB-4 score, micro and macrovascular complications were evaluated.

RESULTS: A total of 999 patients were studied, 51.7% males with a mean (SD) age of 60.1 (12.7) years. Adequate glycemic control based on HbA1c increased by 15.2% and 42.3% in FSG (p < 0.001) between the beginning 2018 and the end of 2022. LDL-C control decreased by 5.1% between 2018 and 2022 (p < 0.001). Systolic BP control decreased by 2.6% (p < 0.001), whereas diastolic BP control increased by 1.8% (p = 0.01) between 2018 and 2022. Albuminuria control increased by 8.5% (p = 0.002). When comparing the Area Under the Curve (AUC) of metabolic parameters between patients who developed SARS-CoV-2 vs. those who did not, AUC was statistically higher in those who developed SARS-CoV-2 (p < 0.05). Diabetic neuropathy was the most prevalent microvascular complication (n = 35; 3.6%); ischemic heart disease was the most frequent macrovascular complication (n = 11;1.1%).

CONCLUSIONS: A multidisciplinary dynamic team that adapts to the pandemic SARS-CoV-2 maintains and increases metabolic control in subjects with type 2 diabetes in Mexico. This represents a low percentage of chronic complications. The AUC of metabolic parameters of subjects with SARS-CoV-2 infection is higher, reflecting more variability in metabolic control.

PMID:38664823 | DOI:10.1186/s13098-024-01318-8

BMC Health Serv Res. 2024 Apr 25;24(1):522. doi: 10.1186/s12913-024-10966-5.

ABSTRACT

BACKGROUND: Women are disproportionately impacted by osteoarthritis (OA) but less likely than men to access OA care, particularly racialized women. One way to reduce inequities is through policies that can influence healthcare services. We examined how OA-relevant policies in Canada address equitable, person-centred OA care for women.

METHODS: We used content analysis to extract data from English-language OA-relevant documents referred to as policies or other synonymous terms published in 2000 or later identified by searching governmental and other web sites. We used summary statistics to describe policy characteristics, person-centred care using McCormack’s six-domain framework, and mention of OA prevalence, barriers and strategies to improve equitable access to OA care among women.

RESULTS: We included 14 policies developed from 2004 to 2021. None comprehensively addressed all person-centred care domains, and few addressed individual domains: enable self-management (50%), share decisions (43%), exchange information (29%), respond to emotions (14%), foster a healing relationship (0%) and manage uncertainty (0%). Even when mentioned, content offered little guidance for how to achieve person-centred OA care. Few policies acknowledged greater prevalence of OA among women (36%), older (29%) or Indigenous persons (29%) and those of lower socioeconomic status (14%); or barriers to OA care among those of lower socioeconomic status (50%), in rural areas (43%), of older age (37%) or ethno-cultural groups (21%), or women (21%). Four (29%) policies recommended strategies for improving access to OA care at the patient (self-management education material in different languages and tailored to cultural norms), clinician (healthcare professional education) and system level (evaluate OA service equity, engage lay health leaders in delivering self-management programs, and offer self-management programs in a variety of formats). Five (36%) policies recommended research on how to improve OA care for equity-seeking groups.

CONCLUSIONS: Canadian OA-relevant policies lack guidance to overcome disparities in access to person-centred OA care for equity-seeking groups including women. This study identified several ways to strengthen policies. Ongoing research must identify the needs and preferences of equity-seeking persons with OA, and evaluate the impact of various models of service delivery, knowledge needed to influence OA-relevant policy.

PMID:38664819 | DOI:10.1186/s12913-024-10966-5