bluuebunny/crossref_metadata_2025_split huggingface dataset:
Retracted: Drug Utilization Pattern of Antibiotics in Neonatal intensive care unit in a Tertiary Care Hospital, India
Authors: G Doddawad V. 
Published: January 2024

Article retractedMillions of babies are admitted to neonatal intensive care units worldwide, with a significant proportion facing various indications. Given that sepsis is a leading cause of mortality and morbidity among infants globally, including in India, the importance of efficient antibiotic use cannot be overstated. As the global problem of drug resistance intensifies, prudent antibiotic usage becomes crucial in mitigating treatment failures and ensuring the survival of newborns. Aim: to evaluate the pattern of antimicrobial drug utilization in neonatal intensive care unit (NICU) to assess the criteria for drug selection in tertiary care hospital.Materials and Methods. It was an observational prospective study conducted for six months in which 200 neonates admitted to neonatal intensive care unit at tertiary care Hospital, were included. Demographic details, duration of hospital stay, reason for admission (disease pattern), various drugs prescribed were noted. Results. Out of 200 neonates the number of male babies admitted to neonatal intensive care unit were 115 (57.5%) and female babies were 85 (42.5%). Many of the neonates were from age group of 1 to 5 (58.5%) days. Most of the neonates were from weight group of 2.5 to 3 (26.5%) kg. Majority of neonates hospital admission duration was 3 to 6 days is 98 (49%) neonates. Most common disorder requiring neonatal intensive care unit admission was Preterm with Respiratory Distress Syndrome (29%) followed by Neonatal Sepsis (19.5%) and Preterm (11%). Other distress reported include birth asphyxia (16 neonates or 8%), Neonatal convulsions (12 neonates or 6%), Late preterm (13 neonates or 6.5%), Hypernatremia (9 neonates or 4.5%), Meconium Aspiration Syndrome (3 neonates or 1.5%), Neonatal Hypoglycemia (5 neonates or 2.5%) and others (23 neonates or 11.5%). Among 423 antibiotics most prescribed antibiotic was Inj. Piperacillin + Tazobactam (35.4%) followed by Gentamycin (30.2%). Out of 423 drugs 152 are fixed dose combination and single drugs are 271 in this study in which piperacillin + tazobactam of fixed dose combination and gentamicin dose combination and single drugs are 271 in this study in which piperacillin + tazobactam of fixed dose combination and gentamicin of single drug had prescribed in more amount.Conclusion. The findings of this study will contribute to the existing body of knowledge regarding the appropriate use of antibiotics in the NICU, thereby providing insights for healthcare professionals to make informed decisions regarding antibiotic therapy. Empirical antibiotics were administered to every newborn based on their individual conditions. The antibiotic utilization pattern within this study group was determined to be rational.
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study
Authors: Kamruzzaman Methun , Heavey Jack , Song Alexander , Bielskas Matthew , Bhattacharya Parantapa , Madden Gregory , Klein Eili , Deng Xinwei , Vullikanti Anil 
Published: January 2024

Background
Health care–associated infections due to multidrug-resistant organisms (MDROs), such as methicillin-resistant Staphylococcus aureus (MRSA) and Clostridioides difficile (CDI), place a significant burden on our health care infrastructure.

Objective
Screening for MDROs is an important mechanism for preventing spread but is resource intensive. The objective of this study was to develop automated tools that can predict colonization or infection risk using electronic health record (EHR) data, provide useful information to aid infection control, and guide empiric antibiotic coverage.

Methods
We retrospectively developed a machine learning model to detect MRSA colonization and infection in undifferentiated patients at the time of sample collection from hospitalized patients at the University of Virginia Hospital. We used clinical and nonclinical features derived from on-admission and throughout-stay information from the patient’s EHR data to build the model. In addition, we used a class of features derived from contact networks in EHR data; these network features can capture patients’ contacts with providers and other patients, improving model interpretability and accuracy for predicting the outcome of surveillance tests for MRSA. Finally, we explored heterogeneous models for different patient subpopulations, for example, those admitted to an intensive care unit or emergency department or those with specific testing histories, which perform better.

Results
We found that the penalized logistic regression performs better than other methods, and this model’s performance measured in terms of its receiver operating characteristics-area under the curve score improves by nearly 11% when we use polynomial (second-degree) transformation of the features. Some significant features in predicting MDRO risk include antibiotic use, surgery, use of devices, dialysis, patient’s comorbidity conditions, and network features. Among these, network features add the most value and improve the model’s performance by at least 15%. The penalized logistic regression model with the same transformation of features also performs better than other models for specific patient subpopulations.

Conclusions
Our study shows that MRSA risk prediction can be conducted quite effectively by machine learning methods using clinical and nonclinical features derived from EHR data. Network features are the most predictive and provide significant improvement over prior methods. Furthermore, heterogeneous prediction models for different patient subpopulations enhance the model’s performance.
Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study
Authors: Ke Yuhe , Yang Rui , Liu Nan 
Published: January 2024

Background
Intensive care research has predominantly relied on conventional methods like randomized controlled trials. However, the increasing popularity of open-access, free databases in the past decade has opened new avenues for research, offering fresh insights. Leveraging machine learning (ML) techniques enables the analysis of trends in a vast number of studies.

Objective
This study aims to conduct a comprehensive bibliometric analysis using ML to compare trends and research topics in traditional intensive care unit (ICU) studies and those done with open-access databases (OADs).

Methods
We used ML for the analysis of publications in the Web of Science database in this study. Articles were categorized into “OAD” and “traditional intensive care” (TIC) studies. OAD studies were included in the Medical Information Mart for Intensive Care (MIMIC), eICU Collaborative Research Database (eICU-CRD), Amsterdam University Medical Centers Database (AmsterdamUMCdb), High Time Resolution ICU Dataset (HiRID), and Pediatric Intensive Care database. TIC studies included all other intensive care studies. Uniform manifold approximation and projection was used to visualize the corpus distribution. The BERTopic technique was used to generate 30 topic-unique identification numbers and to categorize topics into 22 topic families.

Results
A total of 227,893 records were extracted. After exclusions, 145,426 articles were identified as TIC and 1301 articles as OAD studies. TIC studies experienced exponential growth over the last 2 decades, culminating in a peak of 16,378 articles in 2021, while OAD studies demonstrated a consistent upsurge since 2018. Sepsis, ventilation-related research, and pediatric intensive care were the most frequently discussed topics. TIC studies exhibited broader coverage than OAD studies, suggesting a more extensive research scope.

Conclusions
This study analyzed ICU research, providing valuable insights from a large number of publications. OAD studies complement TIC studies, focusing on predictive modeling, while TIC studies capture essential qualitative information. Integrating both approaches in a complementary manner is the future direction for ICU research. Additionally, natural language processing techniques offer a transformative alternative for literature review and bibliometric analysis.
Predictive Criterion Validity of the Parsley Symptom Index Against the Patient-Reported Outcomes Measurement Information System-10 in a Chronic Disease Cohort: Retrospective Cohort Study
Authors: Williams Hants , Steinberg Sarah , Leon Kendall , Vingum Ryan , Hu Mengyao , Berzin Robin , Hagg Heather , Hanaway Patrick 
Published: January 2024

Background
Approximately 60% of US adults live with chronic disease, imposing a significant burden on patients and the health care system. With the rise of telehealth, patient-reported outcomes measures (PROMs) have emerged as pivotal tools for managing chronic disease. While numerous PROMs exist, few have been designed explicitly for telehealth settings. The Parsley Symptom Index (PSI) is an electronic patient-reported outcome measure (ePROM) developed specifically for telehealth environments.

Objective
Our aim is to determine whether the PSI predicts changes in the established Patient-Reported Outcomes Measurement Information System-10 (PROMIS-10) Global Health, a 10-question short form.

Methods
We conducted a retrospective cohort study using data from 367 unique patients, amassing 1170 observations between August 30, 2017, and January 30, 2023. Patients completed the PSI and the PROMIS-10 multiple times throughout the study period. Using univariate regression models, we assess the predictive criterion validity of the PSI against PROMIS-10 scores.

Results
This study revealed significant relationships between the PSI and PROMIS-10 physical and mental health scores through comprehensive univariate analyses, thus establishing support for the criterion validity of the PSI. These analyses highlighted the PSI’s potential as an insightful tool for understanding and predicting both mental and physical health dimensions.

Conclusions
Our findings emphasize the importance of the PSI in capturing the nuanced interactions between symptomatology and health outcomes. These insights reinforce the value of the PSI in clinical contexts and support its potential as a versatile tool in both research and practice.
Factors Impacting Chinese Older Adults’ Intention to Prevent COVID-19 in the Post–COVID-19 Pandemic Era: Survey Study
Authors: Guan Huixin , Wang Wei 
Published: January 2024

Background
Understanding the factors influencing individuals’ health decisions is a dynamic research question. Particularly, after China announced the deregulation of the COVID-19 epidemic, health risks escalated rapidly. The convergence of “no longer controlled” viruses and the infodemic has created a distinctive social period during which multiple factors may have influenced people’s decision-making. Among these factors, the precautionary intentions of older individuals, as a susceptible health group, deserve special attention.

Objective
This study aims to examine the intention of older adults to engage in preventive behaviors and the influencing factors, including social, media, and individual factors, within the context of the postepidemic era. Drawing upon the structural influence model of communication, this study tests the potential mediating roles of 3 different types of media exposure between cognitive and structural social capital and protective behavior intention, as well as the moderating role of negative emotions between social capital and media exposure.

Methods
In this study, a web survey was used to collect self-reported quantitative data on social capital, media exposure, negative emotions, and the intention to prevent COVID-19 among older adults aged ≥60 years (N=399) in China.

Results
The results indicate that cognitive social capital significantly influenced protective behavior intention (P<.001), with cell phone exposure playing an additional impactful role (P<.001). By contrast, newspaper and radio exposure and television exposure mediated the influence of structural social capital on protective behavior intention (P<.001). Furthermore, negative emotions played a moderating role in the relationship between cognitive social capital and cell phone exposure (P<.001).

Conclusions
This study suggests that using tailored communication strategies across various media channels can effectively raise health awareness among older adults dealing with major pandemics in China, considering their diverse social capital characteristics and emotional states.
Measurement of Head Circumference Using a Smartphone: Feasibility Cohort Study
Authors: Yordanov Stefan , Akhter Kalsoom , Quan Teh Jye , Naushahi Jawad , Jalloh Ibrahim 
Published: January 2024

Background
Accurate head circumference (HC) measurement is essential when assessing neonates and infants. Tape measure HC measurements are prone to errors, particularly when performed by parents/guardians, due to individual differences in head shape, hair style and texture, subject cooperation, and examiner techniques, including tape measure placement and tautness. There is, therefore, the need for a more reliable method.

Objective
The primary objective of this study was to evaluate the validity, reliability, and consistency of HC app measurement compared to the current standard of practice, serving as a proof-of-concept for use by health care professionals.

Methods
We recruited infants attending the neurosurgery clinic, and parents/guardians were approached and consented to participate in the study. Along with the standard head circumference measurement, measurements were taken with the head circumference app (HC app) developed in-house, and we also collected baseline medical history and characteristics. For the statistical analysis, we used RStudio (version 4.1.1). In summary, we analyzed covariance and intraclass correlation coefficient (ICC) to compare the measurement's within-rater and interrater reliability. The F test was used to analyze the variance between measurements and the Bland-Altman agreement, t test, and correlation coefficients were used to compare the tape measurement to the measures taken by the HC app. We also used nonvalidated questionnaires to explore parental or guardians’ experiences, assess their views on app utility, and collect feedback.

Results
The total number of recruited patients was 37. Comparison between the app measurements and the measurements with a tape measure showed poor reliability (ICC=0.177) and wide within-app variations (ICC=0.341). The agreement between the measurements done by parents/guardians and the tape measurements done by the researcher was good (ICC=0.901). Parental/guardian feedback was overall very positive, with most of the parents/guardians reporting that the app was easy to use (n=31, 84%) and that they are happy to use the app in an unsupervised setting, provided that they are assured of the measurement quality.

Conclusions
We developed this project as a proof-of-concept study, and as such, the app has shown great potential to be used both in a clinical setting and by parents/guardians in their own homes.
Reconstrução do cuidado em tuberculose: relato de experiência do PET-Saúde
Authors: Quarti Soares Letícia , Caldeira Medronha Aline , Peracchi Garcia Georgia , Meireles Batista Taizi , Pizzoni Mendez Giovana , De Macedo Torves Mariana , Lourenço Paim Luci , Machado Guimaraes Alana , Barbosa Veronica , Da Silva Almeida Rosangela , Müller Alessandra Bombarda 
Published: January 2024

Introdução: O Programa de Educação pelo Trabalho para a Saúde (PET-Saúde), proposto pelos Ministérios da Saúde e da Educação, busca qualificar a integração do ensino em saúde com a realidade dos serviços de saúde, e esta foi a primeira vez que a Universidade do Vale do Rio dos Sinos foi contemplada, propondo o fortalecimento do processo de reconstrução do cuidado à tuberculose em parceria com a Secretaria Municipal de Saúde (SMS) de Porto Alegre. Objetivo: Relatar as vivências e experiências acerca das ações de monitoramento dos indivíduos com tuberculose, através do olhar das petianas. Método: Este estudo é um relato de caso da edição 2022-2023 do PET-Saúde. O programa teve como principais etapas o mapeamento, o monitoramento e a busca ativa dos indivíduos com tuberculose - e seus contatos - vinculados às Unidades de Saúde adscritas na Coordenadoria Norte de Saúde (CNS) da SMS de Porto Alegre. Resultados: Esta parceria viabilizou a inserção e a elaboração de estratégias para o controle de 320 casos ativos de tuberculose e de abandonos, bem como a investigação de contatos de indivíduos com tuberculose, no intuito de reduzir os altos índices de transmissão da doença. Também oportunizou o desenvolvimento de competências para a gestão do cuidado em rede, como preconizado pelo Sistema Único de Saúde (SUS), aproximando o conhecimento acadêmico da prática multidisciplinar e interprofissional. Considerações finais: Essa edição do programa fortaleceu o trabalho dinâmico de monitoramento do cuidado em tuberculose na rede de Atenção Primária à Saúde (APS), sistematizado e articulado com outros grupos de apoio para incorporar a educação permanente em saúde em tuberculose para as equipes da APS.
Ethanolic Extract of Moringa oleifera Leaves Improves Glucose Tolerance, Glycogen Levels, and Liver Health in Alloxan-Induced Diabetic Rats
Authors: Aini Qurratu , Samingan Samingan , Sabri Mustafa 
Published: January 2024

Abstract: This study aims to determine the effect of the leaf ethanol extract of (Moringa oleifera L.) on increasing the content of liver glycogen grains in hyperglycemic rats. The research was conducted at the Pathology and Pharmacology Laboratory, Department of Veterinary Clinic, Faculty of Veterinary Medicine, Universitas Syiah Kuala. The method used is an experimental method with a completely randomized design consisting of five treatments and five treatmenttests. Treatment A = Negative control (given with distilled water and physiological NaCl), B = Positive control (75 mg/kg BW of alloxan and incubated for 21 days), C (75 mg/kg BW of alloxan and 150 mg/kg BW of Moringa oleifera leaf ethanol extract for 21 days), D (75 mg/kg of alloxan and 300 mg/kg of Moringa oleifera leaf ethanol extract for 21 days), and E (75 mg/kg of alloxan and 450 mg/kg of Moringa oleifera leaf ethanol extract for 21 days). The parameters observed werethree factors: blood sugar levels, glycogen levels, and histological images of the liver depicting the condition of either a healthy or diseased liver. The results of statistical analysis showed that there was a significant effect, namely that the administration of Moringa oleifera leaf extract at a dose of 450 mg/kg BW was able to reduce blood glucose levels, increase liver glycogen content,and repair liver cell damage in hyperglycemic rats (P<0.01).Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh pemberian ekstrak daun kelor (Moringa oleifera) terhadap peningkatan kandungan butir glikogen hati pada tikus hiperglikemik. Pelaksanaan penelitian dilakukan di Laboratorium Patologi dan Farmakologi Jurusan Klinik Veteriner Fakultas Kedokteran Hewan Universitas Syiah Kuala. Metode yang digunakan adalah metode eksperimen dengan Rancangan Acak Lengkap yang terdiri atas lima perlakuan dan lima ulangan. Perlakuan A = Kontrol negatif (diberi akuades dan NaCl fisiologis), B= Kontrol positif (75 mg/kg BB aloksan dan diinkubasi selama 21 hari), C (75 mg/kg BB aloksan dan 150 mg/kg BB ekstrak daun kelor selama 21 hari), D (75 mg/kg BB aloksan dan 300 mg/kg BB ekstrak daun kelor selama 21 hari), dan E (75 mg/kg BB aloksan dan 450 mg/kg BB ekstrak daun kelor selama 21 hari). Parameter yang diamati adalah kadar glukosa darah, kandungan butir glikogen hati dan perbaikan sel hati pada tikus hiperglikemik. Hasil analisis statistik menunjukkan adanya pengaruh yang signifikan yaitu pemberian ekstrak daun kelor (Moringa oleifera) pada dosis 450 mg/kg BB mampu menurunkan kadar glukosa darah, meningkatkan kandungan butir glikogen hati dan memperbaiki kerusakan sel hati pada tikus hiperglikemik (P<0.01).
Wyniki ekonomiczne gospodarstw należących do europejskiego stowarzyszenia producentów mleka w 2006 r.
Authors: Wójcik Agata 
Published: January 2024

W artykule przedstawiono progi rentowności w produkcji mleka w badanych gospodarstwach. Artykuł dostarcza informacji o kształtowaniu się kosztów bezpośrednich produkcji mleka, kosztów pracy i ziemi, kosztów budynków, a także kosztów alternatywnych oraz kosztów całkowitych. Najważniejszym źródłem przychodów w analizowanych gospodarstwach były przychody ze sprzedaży mleka. Dodatkowym, istotnym źródłem przychodów była sprzedaż bydła, a także dopłaty bezpośrednie, subsydia oraz pozostałe przychody. Do przeprowadzenia badań wykorzystano dane z gospodarstw specjalizujących się w produkcji mleka zebrane dla Europejskiego Stowarzyszenia Producentów Mleka (European Dairy Farmers) w 2006 roku.
Bonding and Debonding with a Light-Activated Resin-Modified Glass-Ionomer Cement
Authors: Fricker John P 
Published: January 2024

Abstract
Light-activated resin-modified glass-ionomer cements have been shown to be satisfactory adhesives for the direet bonding of metal brackets in selected cases. They have the advantage over composite resins in that no etching of the enamel is required, thereby preserving the integrity of the enamel prisms. Debonding of brackets carries less risk of mechanical damage to tooth structure and the long-term 73 fluoride leach reduces the incidence of demineralisation around bracket margins. This paper descrihes the clinical technique for bonding metal brackets with these materials and some recommendations when debonding.
Mesial Migration of Lower Molars in Relation to Facial Growth and Eruption
Authors: Richardson Margaret E. 
Published: January 2024

Abstract
Mesial migration of teeth in the huccal segments is a well recognised phenomenon in the human dentition. Its aetiology is not fully understood. It has heen suggested that it is, to some extent, dependent on growth changes in the lower face.
The purpose of this investigation was to examine mesial movement of first molars in the intact lower arch in relation to the amount and direction of facial growth and eruption of teeth.
Mesial migration of lower first molars hetween 13 and 18 years was measured on 60 degree cephalograms of 22 males and 29 females with intact lower arches. Correlation analyses were used to examine the relation hetween mesial migration and tooth eruption, growth changes in mandihular length and anterior face height and direction of growth.
There was, on average, forward Jnovement of first molars of 2.0 - 3.0mm and eruption of 2.0 - 4.0mm. No relation was found hetween forward movement of first molars and their eruption or the amount and direction of facial growth.
The Force Requirements for Tooth Movement Part III: The Pressures Hypothesis Tested
Authors: Lee Brian.W. 
Published: January 2024

AbstractMany experiments have investigated the force requirements for tooth movement; the diverse results so obtained have lead to controversy and resulted in an incomplete understanding of the true nature of tooth movement. This study analyses the results of two experiments4,5which investigated the relation between the force applied and the rate of tooth movement from the standpoint of the pressures exerted by the tooth root on the surrounding tooth-periodontal membrane complex. The pressure hypothesis suggested by Smith and Storey1is tested using the estimated projected area of the teeth moved in the experiments as a means of calculating the estimated pressures resulting from the application of orthodontic forces. The average pressure at which optimal rates of tooth movement occured in these experiments was 19 7 gf cm−2.