bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gerakan Sedekah Mengubah Sampah Menjadi Amal Jariyah
Authors: Aniqoh Syafaah Maula , Aksa Ahmad Habiburrohman , Widyastuti Dwi , Af’idah Irma Nur 
Published: March 2024

<p><em><span>KKN adalah bentuk kegiatan mahasiswa dalam mengabdi kepada masyarakat. Tujuan dari kegiatan pengabdian ini yaitu untuk mengadakan program amal sampah dalam rangka meningkatkan kesadaran masyarakat akan pentingnya tidak membuang sampah sembarangan. Kegiatan PKM ini menggunakan metode ABCD dengan memanfaatkan aset yang ada di Desa Jlegong. Selain itu amal sampah juga berguna bagi seluruh masyarakat Desa Jlegong dalam agar tidak membuang sampah atau membakar sampah, karena dari sampah-sampah tersebut dapat menghasilkan uang, kerajinan dll, sehingga mampu mendongkrak ekonomi masyarakat yang ada di desa Jlegong. Metode pelaksanaan kegiatan dilakukan melalui sosialisasi ke beberapa ormas, kegiatan keagamaan masyarakat, ke ketua RT, dan juga turut serta dalam beberapa kegiatan masyarakat lainnya. Hasil dari PKM amal sampah ini kemudian dimanfaatkan untuk kepentingan bersama meliputi kesejahteraan sosial maupun kesejahteraan umat yang berbasis pada masjid. Kegiatan amal sampah di Desa Jlegong ini masyarakat juga dapat mengetahui bagaimana mengelola sampah menjadi barang yang bernilai ekonomis. Sampah yang selama ini sampah hanya dipandang sebelah mata oleh masyarakat umumnya di mana sampah merupakan sesuatu yang menimbulkan bau yang tidak sedap, kotor dan menjijikkan. Tapi dengan adanya suatu kegiatan sosialisasi mengenai pengelolaan sampah, sampah yang bau dan kotor tersebut apabila dikelola dengan baik dapat bernilai ekonomis.</span></em></p>
The Effectiveness of Calcium Supplement as Orally Contrast Media for Gastric Magnetic Resonance Imaging
Authors: Mankhi Zainab Abdulla , Riah Khalid Ibrahim , Abdul-Lettif Ahmed Mehmood 
Published: March 2024

العمل الحالي يهدف لإيجاد عامل تباين فموي يمكن استخدامه في تصوير الجهاز الهضمي بالرنين المغناطيسي (MRI) وكذلك خاضع للمعايير التالية: يجب أن يكون آمنًا، ليس له آثار جانبية أو أقل ما يمكن من الاثار الجانبية، إنه غير مكلف وينتج عنه أعلى جودة تصوير.
الطريقة: تم أعداد العينات (المحاليل) كعوامل تباين فموية عن طريق إذابة مكملات الكالسيوم والمغنيسيوم بشكل منفصل (مقدار الجرعة اليومية المسموحة) بكميات مختلفة من الماء المقطر. ولأجل تحديد العينة ذات أقل تركيز وأفضل تباين في صورة لذلك تم فحص العينات في جهاز التصوير بالرنين المغناطيسي بواسطة الأنابيب اختبار. بعد ذلك، تم اختبار أفضل عينة بواسطة عشرة متطوعين أصحاء. والصور الناتجة يتم تقيمها بواسطة قياس شدة الإشارة لحساب نسبة الإشارة الى الضوضاء (SNR)، ونسبة الإشارة إلى الضوضاء النسبية (RSN) والتباين (C) في المعدة قبل وبعد تناول محلول مكمل الكالسيوم. والقيم الحسابية الناتجة تعالج احصائيا (p-value 0,05).
النتائج: أظهرت النتائج أن مكمل المغنيسيوم ليس له أي تأثير جوهري على شدة إشارة الماء في -weighted T1 و T2-weighted، بينما مكمل الكالسيوم يعزز شدة إشارة الماء في T2-weighted.
الاستنتاج: يمكن استخدام مكمل الكالسيوم كعامل تباين إيجابي على الصور -weighted T2 للتصوير الجهاز الهضمي بالرنين المغناطيسي (MRI).
JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data
Authors: Sabeeh Vian , A. Alwahhab Ahmed Bahaaulddin , Al-kharaz Ali Abdulmunim Ibrahim 
Published: March 2024

الأمراض الوبائية اصبحت مشكلة لا يمكن تجنبها في بيئتنا الحالية مع تميزها بنفس الاعراض الامر الذي يجعل من تشخيصها و الكشف المبكر عنها امراً صعباً. لذلك، اصبح من الضروري ايجاد تقنية تعتمد على اعراض المرضى المختلفة لتصنيف امراضهم. تعد الوثائق الطبية من المصادر المهمة التي مازالت تحتاج لطرق مبتكرة وموثوقة لتحليلها من اجل الوصول لتشخيص الكثير من الامراض، وعليه من المهم اضافه جهد في هذا المجال لأثراء معالجه النصوص الطبية للاستفادة منها في مجال المعلوماتية الصحية .ولهذا، تم افتراض خوارزمية JASBO اي خوارزمية تحسين معدل الفرق باستخدام JAYA التي تعتمد على التعلم العميق والتي تعمل على تصنيف الامراض المعدية الى فئاتها اعتمادا على البيانات النصية غير المبوبة في هذا البحث. ان شبكة تشخيص الامراض ID-NET التي افترضت تتكون من شبكة عصبية التفافية CNN من اجل تشخيص الكلمات الغريبة او الكلمات المفيدة في التشخيص مع شبكة الذاكرة الثنائية الاتجاه طويلة المدى BI-LSTM . حيث تم استخدام خوارزمية JASBO من اجل تحديد حجم الفلتر في شبكة التصنيف النهائية من اجل تحديد اهم اجزاء النص المعبرة عن المرض. يبدأ عمل الشبكة بدخول النص المطلوب تصنيفه الى مرحلة التقطيع الى كلمات، ليتم توجيه الكلمات لاحقاً شبكة تعلم عميق التفافية. اضافه لذلك يتم استخراج خصائص نمطيه او تراتبية احرف الكلمات باستخدام شبكة الذاكرة الثنائية لتتحول الى مصفوفه خصائص توجه الى طبقة تحسس لا يجاد تشابه تراتبية الحروف بين الكلمات بواسطة معادلة كومار-هانزبروك للتشابه . اعتماداً على ناتج شبكة JASBO يتم التنبؤ بفئة كل كلمة فيما اذا كانت تشير لأعراض مرض ما. الشبكة المفترضة لتشخيص الامراض أظهرت كفاءة بدقة 91 % ونسبة ارجاع 88% مع نسبة F-SCORE وصلت الى 90%.
A Hybrid Method of 1D-CNN and Machine Learning Algorithms for Breast Cancer Detection
Authors: Nafea Ahmed Adil , AL-Mahdawi Manar , Alheeti Khattab M Ali , Alsumaidaie Mustafa S. Ibrahim , AL-Ani Mohammed M 
Published: March 2024

يعد سرطان الثدي من المخاوف الصحية ذات الأهمية، ومن الضروري اكتشافه مبكرًا للحصول على علاج فعال. في الآونة الأخيرة، كان هناك اهتمام متزايد باستخدام الذكاء الاصطناعي (AI) للكشف عن سرطان الثدي، مما أظهر نتائج في تعزيز الدقة وتقليل النتائج الإيجابية الخاطئة. ومع ذلك، هناك بعض القيود فيما يتعلق بدقة الكشف. تقدم هذه الدراسة منهجًا هجيناً يستخدم 1D CNN لاستخراج الميزات ويستخدم خوارزميات التعلم الآلي مثل XGBoost والغابات العشوائية (RF) وأشجار القرار (DT) وآلات ناقلات الدعم (SVM) و أقرب جار (KNN) لتصنيف العينات إما حميدة أو خبيثة تهدف إلى تعزيز الدقة في الكشف. تكشف النتائج التي توصلنا إليها أن خوارزمية XGBoost مع استخراج الميزات (D CNN1) حققت دقة قدرها 98.24% في مجموعة الاختبار. تسلط هذه الدراسة الضوء على جدوى استخدام خوارزميات التعلم الآلي والتعلم العميق في هذه الدراسة تم استخدام مجموعة بيانات سرطان الثدي في ولاية ويسكونسن (WBC)، للكشف عن سرطان الثدي. يبشر نهجنا بالوعد في تسهيل الكشف وتحسين النتائج من خلال توفير أدوات دقيقة وموثوقة لتشخيص سرطان الثدي.
Third-Order Differential Subordination for Generalized Struve Function Associated with Meromorphic Functions
Authors: Hammad Suha J. , Juma Abdul Rahman S. , Ebrahim Hassan H. 
Published: March 2024

سابقاً تناولت العديد من الاعمال دراسة التبعية التفاضلية من الدرجة الاولى وبعد فترة وجيزة تناولت دراسات اخرى التبعية التفاضلية من الدرجة الثانية في قرص الوحدة . مؤخراً تم تقديم التبعية التفاضلية من الدرجة الثالثة من قبل بوانسامي واخرون في عام 1992 و انتونيو ميلر عام 2011 . تبحث هذة الورقة في صنف اوسع بكثير من متراجحات التبعية التفاضلية من الدرجة الثالثة . عرف المؤلفون المعايير الخلصة بصنف من الاوبريترات المسموح بها وهذا يعني ضمان وجود التبعية التفاضلية من الدرجة الثالثة. الدوال الميرومورفية في D هي دوال تحليلية في المجال D بأستثناء الرواسب اذا كانت فأن الدالة ميرومورفية وهي دوال يمكن تمثيلها كحاصل قسمة دالتين. دالة ستورف لها تطبيقات في قضايا الموجات السطحية و موجات الماء والديناميكا الهوائية غير المستقرة و الاتجاه البصري ونظرية عدم الاستقرار المقاوم ظهرت دالة ستروف مؤخرا في عدد من انظمة الجسيمات . فكرة التبعية التفاضلية في لغة هي تعميم للمتباينات في لغة R, وقد بدأت في عام 1981 من خلال اعمال ميلر و موكانو و ريد. في هذا المقال يتم معاينة الفئات المناسبة من الدوال المقبولة ويتم انشاء خصائص التبعية التفاضلية من الدرجة الثالثة باستخدام المؤثر للدوال متعددة التكافؤ التحليلية باستثناء عدد منته من النقاط( الاقطاب) المرتبطة بوظيفة ستروف المعممة . في هذة الدراسة هناك حاجة لعرض العديد من المفاهيم منها التبعية , الفوقية , المسيطر, افضل السائد, الالتواء (او منتج هادامارد) ,الدالة متعددة التكافؤ التحليلية باستثناء عدد منته من النقاط ( الاقطاب) , دالة ستروف بالاضافة الى مفهوم المضروب المزاح( او رمز بوشهامر) و الدوال المسموح بها.
Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer
Authors: Kong Lingjie , Liang Junhao , Yang Jianghui , Wu Meilong , Zhang Weisheng , Dai Qionghai , Yin Hongfang , Xiao Ying 
Published: March 2024

Abstract
Tissue biomarkers are crucial for cancer diagnosis, prognosis assessment, and treatment planning. However, there are few known biomarkers that are robust enough to show true analytical and clinical value. Deep learning (DL)-based computational pathology can be used as a strategy to predict survival, but the limited interpretability and generalizability prevent acceptance in clinical practice. Here we present an interpretable human-centric DL-guided framework called PathFinder (Pathological-biomarker-finder) that can help pathologists to discover new tissue biomarkers from well-performing DL models. By combining sparse multi-class tissue spatial distribution information of whole slide images (WSIs) with attribution methods, PathFinder can achieve localization, characterization, and verification of potential biomarkers, while guaranteeing state-of-the-art prognostic performance. Using PathFinder, we discovered that spatial distribution of necrosis in liver cancer, a long-neglected factor, has a strong relationship with patient prognosis. We therefore proposed two clinically independent indicators, including necrosis area fraction and tumor necrosis distribution, for practical prognosis, and verified their potentials in clinical prognosis according to Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)-derived criteria. Our work demonstrates a successful example of introducing DL into clinical practice in a knowledge discovery way, and the approach may be adopted in identifying biomarkers in various cancer types and modalities.
Real-time Auditory Feedback for Improving Gait and Walking in People with Parkinson’s Disease: A Pilot and Feasibility Trial
Authors: Mayo Nancy E. , Mate Kedar K.V. , Fellows Lesley K , Morais Jose , Sharp Madeleine , Lafontaine Anne-Lousie , Hill Edward , Abou-Sharkh Ahmed 
Published: March 2024

Abstract

Background: Technology is poised to bridge the gap between demand for therapies to improve gait in people with Parkinson’s and available resources. A wearable sensor, Heel2ToeTM, a small device that attaches to the side of the shoe and gives a sound each time the person starts their step with a strong heel strike has been developed and pre-tested by a team at McGill University. The objective of this study was to estimate feasibility and efficacy potential of the Heel2ToeTM sensor in changing walking capacity and gait pattern in people with Parkinson’s.
Methods: A pilot study was carried out involving 27 people with Parkinson’s randomized 2:1 to train with the Heel2Toe[TM] sensor and or to train with recommendations from a gait-related workbook.
Results: A total of 21 completed the 3-month evaluation, 14 trained with the Heel2Toe[TM] sensor and 7 trained with the workbook. Thirteen of 14 people in the Heel2Toe group improved over measurement error on the primary outcome, the Six Minute Walk Test, (mean change 66.4 m.) and 0 of the 7 in the Workbook group (mean change -19.4 m.): 4 of 14 in the Heel2Toe group made reliable change and 0 of 7 in the Workbook group. Improvements in walking distance were accompanied by improvements in gait quality. 40% of participants in the intervention group were strongly satisfied with their technology experience and an additional 37% were satisfied.
Conclusions: Despite some technological difficulties, feasibility and efficacy potential of the Heel2Toe sensor in improving gait in people with Parkinson’s was supported.
Development of PESCAD: An Inductive Method of Mathematics Teaching
Authors: Bernarte Karl Leugim 
Published: March 2024

Abstract

This study focused on the creation of a teaching approach called PESCAD, which follows an inductive method. It involved developing a sample lesson and examining how experts and professionals would assess it. The project aimed to delve on the analysis, design, development, and evaluation of the lesson exemplar incorporating PESCAD; the effectiveness of PESCAD in fostering 21st-century skills; the efficacy of PESCAD in promoting higher-order thinking skills; how Mathematics educators would assess PESCAD based on reliability, effectiveness, feasibility, inclusivity, and flexibility; and the feedback and recommendations from the evaluators to enhance PESCAD further. The research employed a descriptive-developmental approach, where the researcher constructed a sample mathematics lesson as a representation of the inductive teaching method. Six mathematics teachers from Nueva Ecija High School evaluated the lesson. The findings indicate that PESCAD has the potential to enhance 21st-century skills and higher-order thinking skills among students. The evaluators also expressed confidence in its reliability, effectiveness, feasibility, inclusivity, and flexibility. They also acknowledged PESCAD's ability to improve students' retention of knowledge. Additionally, they suggested incorporating real-life applications and gradually increasing the complexity of examples to encourage critical thinking among students.
The association study of body composition and hormone levels with glucose, lipid and bone density in perimenopausal and postmenopausal women
Authors: Luo Xiaoyan , Zhang Jun , Guo Yichuan , Xu Liangzhi 
Published: March 2024

Abstract
With the aging population, understanding the factors influencing metabolism-related diseases in women during perimenopause and postmenopause is crucial for developing effective prevention and management strategies. This study aimed to investigate the relationship between body composition, hormone levels, age, and metabolism-related diseases in perimenopausal and postmenopausal women. A total of 773 women aged 40 to 54 years were included in the study. Data on serum hormone levels, blood lipids, blood glucose, anthropometric indexes, and bone density were collected and analyzed using ANOVA. Differences between perimenopausal women (Peri-M) and postmenopausal women (Post-M) or different age groups were compared, and the relationships among these factors were examined. The prevalence of cardiovascular and skeletal diseases was higher in Post-M compared to Peri-M (15.05% vs 8.29% and 41.75% vs 23.28%, respectively) (P < 0.05). Post-M women showed significantly elevated levels of Total cholesterol (TC) and low-density lipoprotein (LDL), along with decreased bone density compared to Peri-M (5.12 ± 0.73 vs 4.79 ± 0.82; 2.91 ± 0.67 vs 2.67 ± 0.74; 1.03 ± 0.15 vs 1.12 ± 0.14; 0.86 ± 0.11 vs 0.90 ± 0.13). In the Peri-M group, estradiol (E2) negatively correlated with TC (r1=-0.084), while age positively correlated with TC (r2 = 0.091); neither were associated with LDL, T-value of 2–4 lumbar spine (T1), or T-value of femoral neck (T2). Conversely, in the Post-M group, E2 negatively correlated with TC and LDL (r1’=-0.256, r3=-0.178), and positively correlated with T1 and T2 (r4 = 0.265, r5 = 0.275); age positively correlated with TC and LDL (r2’=0.231, r3’=0.152), negatively correlated with T1 (r4’=-0.218), and was not correlated with T2. E2 and age were independent predictors of metabolic indexes. Notably, the correlation coefficients of E2 and age with TC during the postmenopausal period were significantly higher than in the menopause transition period (P < 0.05). The increased prevalence of cardiovascular and skeletal diseases is closely associated with estrogen deficiency and chronological aging. The interaction between E2 and age in lipid and bone metabolism may contribute to the development of postmenopausal metabolism-related diseases. Early initiation of primary prevention therapy may offer substantial biological and clinical benefits to postmenopausal women.
The Impact of Vitamin D on Alzheimer's Disease: A Mendelian Randomization Study
Authors: pei Dongliang , Wang Shuyan , Li Xueying 
Published: March 2024

Abstract

Background
Alzheimer's disease (AD) is a predominant neurodegenerative disorder affecting elderly people, but its pathogenesis has yet to be fully elucidated. An increasing body of evidence suggests a potential link between vitamin D deficiency and an elevated risk of AD. This study aimed to investigate the potential causal relationship between vitamin D levels and the risk of AD through Mendelian randomization analysis.
Methods
This study utilized two independent genome-wide association study (GWAS) datasets correlating vitamin D levels and AD. Single nucleotide polymorphisms (SNPs) significantly associated with vitamin D levels were selected as instrumental variables for the Mendelian randomization analysis. Multiple MR methods, including the inverse variance weighted (IVW) method, MR Egger, weighted median, simple mode, and weighted mode, were employed for the primary causal inference, complemented by heterogeneity tests and sensitivity analyses to assess the robustness of the results.
Results
IVW analysis indicated a significant inverse correlation between vitamin D levels and AD risk (β = -0.5725, 95% CI: -0.8349 to -0.3101, P = 0.0291), suggesting that an increase in vitamin D levels is associated with a reduction in AD risk. No significant heterogeneity was detected in the analysis.
Conclusion
This study provides preliminary evidence that vitamin D deficiency may contribute to an increased risk of AD. However, given the lack of consistent results from other MR methods, these findings should be interpreted with caution.
Epidemiological, clinical and therapeutic aspects of cleft lip and palate in the Democratic Republic of Congo: about 1666 cases
Authors: Médard KABUYAYA K. , Onalongombe Ahuka , MEKONEN Eshete , Ye Todd M. Van , MILLICAN Paul , WEMBONYAMA Stanis O. , AKINJA Severin UWONDA 
Published: March 2024

Abstract
Introduction:
Cleft lip and/or palate (CLP) are congenital malformations which mainly affect the upper lip and/or palate and are the most common malformations of the orofacial sphere. The objective of the present study was to describe the epidemiological, clinical and therapeutic profile of cleft lip and palate patients managed in the Democratic Republic of Congo (DRC).
Material and Methods
a retrospective descriptive study of 1666 patients with cleft lip and palate collected in 20 provinces of the DRC and managed between January 2017 and June 2022. The variables studied were epidemiological, anatomo-clinical and therapeutic.
Results
The mean age of patients seeking care was 11.6 years. The male predominance was (58.6%). A family history of CLP was found in 4.3% of cases and the association of CLP with other visible congenital malformations was identified in 1.5%. Isolated cleft lips were (66.1%) and palates (2.6%) of cases. Combinations involving cleft lip, palate and alveoli were observed respectively as following in terms of frequency: cleft lip-alveolar (15.7%), cleft lip-alveolar-palatal (10.6%) and cleft lip-palate (4.9%). The left side cleft was more common. Cheiloplasty was the most common repair procedure for cleft lip (81.4%) and the isolate palatoplasty was performed for 2.6% cleft palate.
Conclusion
In the DRC, CLP are common, with male predominance and often treated late. Cleft lips occur more commonly than cleft palates.
Association between hemoglobin and Hyperuricemia: results from NHANES 2011–2020 and mendelian randomization analyses
Authors: Wang Yajiao , Zheng Haoran , Xu Xia , Shi Shuqing , Li Yumeng , Zhang Bingxuan , Wu Huaqin , Song Qingqiao 
Published: March 2024

Abstract
Background The relationship between hemoglobin and hyperuricemia is still unclear. Objective To explore the association between hemoglobin and hyperuricemia. Methods The data for our cross-sectional study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2011–2020. Weighted multivariate logistic regression was performed to examine the association between hemoglobin and hyperuricemia. Inverse variance weighted (IVW), weighted-median, weighted-mode and MR-Egger were used in MR analyses to assess the causal relationship between hemoglobin and hyperuricemia. Heterogeneity and horizontal pleiotropy were evaluated using Cochrane Q-test and MR Egger intercept test, respectively. Sensitivity analysis was conducted using Leave one out to evaluate the bias of individual SNPs in MR analysis. All analyses were carried out using IBM SPSS 24.0 and R version 4.3.1. Results A total of 21,855 NHANES participants were included in this study. After adjusting for all covariates, the association between hemoglobin and hyperuricemia was signifcant (P < 0.05). IVW estimates revealed that hemoglobin had signifcant efect on the risk of hyperuricemia (OR = 1.0329487, 95% CI = 1.005145–1.061521, P < 0.05). Findings of MR Egger regression, weighted median method and weighted mode were consistent with those from IVW (weighted median: OR = 1.056927, 95% CI = 1.029481–1.085105; P < 0.05; MR-Egger: OR = 1.0776376, 95% CI = 1.022953–1.135246, P < 0.05; Weighted mode: OR = 1.047532, 95% CI = 1.02109–1.074639, P < 0.05). The results of three MR Analyses methods also showed causal association between hemoglobin and hyperuricemia. Conclusions Our findings support a causal association between hemoglobin and hyperuricemia. This suggests that monitoring hemoglobin levels is equally important in preventing the occurrence of hyperuricemia.
Potential Usefulness of Nutritional Ultrasound for Morphofunctional Assessment in Patients With Obesity
Authors: MARIA GARCIA OLIVARES , LARA DALLA ROVERE , ROCIO FERNANDEZ JIMENEZ , CARMEN HARDY AÑON , JOSE ABUIN FERNANDEZ , VIRGINIA MORILLAS JIMENEZ , MANUEL GARCIA ALMEIDA JOSE 
Published: March 2024

Abstract

Background
Assessing the nutritional status of patients with obesity (PwO) is mandatory to secure optimal management. Easy, affordable procedures to accomplish this purpose would be appreciated. Nutritional ultrasound (NU) is a simple, non-invasive method for morphofunctional analysis.
Methods
We evaluated the ability of NU to determine body composition in a cohort of 178 PwO. Bioelectrical impedance analysis (BIA) and handgrip strength dynamometry (HGS), which are accepted methods to monitor body composition and muscle functionality, respectively, in PwO, were used for comparative purposes.
Results
There was a highly significant correlation between NU-measured quadriceps rectus femoris (RF) cross-sectional area (CSA) and BIA-measured fat-free markers such as body cell mass (r = 0.638, P <0.001), fat free mass (r = 0.597, P <0.001) or appendicular skeletal muscle mass (r = 0.591, P <0.001). The correlation between RF-CSA and HGS was also significant (r = 0.536, P < 0.001). NU-measured leg subcutaneous adipose tissue (L-SAT) was highly correlated with BIA-measured fat mass (%) (r = 0.656, P <0.001). There was a significant inverse correlation between L-SAT and HGS (r = -0.416, P <0.001).
Conclusions
These results suggest that NU can be a useful, cheap, portable tool to assess nutritional status.
Risk factor analysis of children and young people with cerebral palsy
Authors: Mascarin Aline Maria Noli , Costa Isabela Bazzo , Fregatto Luiz Fernando , Duarte Janaina Costa Marangon , Junior Salum Bueno Silveira , Serva Bianca Eduarda Baptistella Mesquita , Arruda Camila Maria , Spinola Ursula Girotto Marinho , Buchaim Daniela Vieira , Buchaim Rogerio Leone , Chagas Eduardo Federighi Baisi , Medeiros Rodolfo Oliveira , Santos Juliana Pascon dos , Dias Jefferson Aparecido , Junior Francisco Agostinho , Cola Paula Cristina 
Published: March 2024

Abstract

Currently, many individuals are affected by neurological disorders of various etiologies. In this study, we aimed to identify whether risk factors are associated with neurodevelopmental disorders in children and young people with cerebral palsy. We analyzed 258 medical records of people of both sexes with several neurological diagnoses. The analyzed data referred to demographic data, clinical data, and factors raised in neonatal anamnesis and neurodevelopmental disorders. The largest proportion of the sample is male, under 10 years of age, and is feeding orally. The risk factors were that the largest proportion underwent prenatal examination; had a cesarean section; and had low birth weight, hypoxia, and need for a neonatal intensive care unit. In relation to the neurodevelopmental disorder outcomes of interest, the largest proportion of the sample presented dysphagia, epilepsy, and gross motor function ≥ 4. We found that risk factors were not associated with neurodevelopmental disorders. However, the presence of hypoxia increases epilepsy risk.